ZPHSS 2004 ddi-zam-datafirst-zphss-2004-v1 DataFirst 2004-05 Nesstar Publisher Version 1.0 (July 2013) Zambia Post Harvest Supplemental Survey 2004 ZPHSS 2004 zam-zcso-zphss-2004-v1 Zambian Central Statistics Office (Agriculture and Environment Department) Zambian Ministry of Agriculture, Food and Fisheries (Policy and Planning Branch) (c) 2004, Zambian Central Statistics Office Nesstar Publisher Food Security Research Project DataFirst Helpdesk Agricultural Survey [ag/oth] v1.0 Although we specify this version of the dataset as 1.0, we are aware that there have been previous versions of these data. The FSRP has not made it clear whether or not these previous versions are or were publically available. There was, however, an apparent discrepancy between the number of observations in the crop and field datafiles and the reported number of observations in the documentation for those same datafiles in a previous version. The FSRP was contacted and provided the updated documentation. The discrepancy apparently arose from file updates as the FSRP found problem cases which were not immediately updated in the documentation available online. This does suggest that there has been some form of official, public release previously, but to DataFirst's knowledge these releases have not been assigned version numbers. The user should note, then, that this version number only applies to the study metadata created by DataFirst. Zambia National coverage The survey covered all respondents interviewed during the 1999/2000 post-harvest survey. The post-harvest survey took draws from a subset of Standard Enumeration Areas (SEAs) which were defined according to the 1990 census. The ministry of housing and agriculture defined this subset as the sampling frame for agricultural surveys. Sample survey data [ssd] Face-to-face [f2f] Sample and panel weights were calculated for this dataset Professor Thomas Jayne Food Security Research Project (FSRP). Zambian Post Harvest Supplemental Survey 2004 [dataset]. Version 1.0. Lusaka: Food Security Research Project [producer], 2004. Lusaka: Food Security Research Project [distributor], 2004 adults_addit04.NSDstat This data file contains information on adults (12 years and older not listed in 2001) in households surveyed during the ZPHSS 2004. 6831 19 Nesstar 200801 Zambian Central Statistics Office 1.0 Member numbers start at 31. Children who have become 12 years and older who were members of the household in 2001 will be listed here as well as additional adults who have joined the household. adults04.NSDstat This data file contains information on adults surveyed in the ZPHSS 2004. 19116 21 Nesstar 200801 Zambian Central Statistics Office 1.0 Only members who were in the previous supplemental survey will be in this file. Note that the head of the household could be in the additional adults file if there is no head for the household in this file. allsurid04.NSDstat This data file contains information on all households surveyed in the ZPHSS 2005. This includes households that did not actually complete the survey. 6922 16 Nesstar 200801 Zambian Central Statistics Office 1.0 asset04.NSDstat This data file contains information on the production assets / implements in households surveyed during the ZPHSS 2004. 102942 11 Nesstar 200801 Zambian Central Statistics Office 1.0 bus_activ04.NSDstat This data file contains information on all formal and informal business activities within households surveyed during the ZPHSS 2004. 2065 25 Nesstar 200801 Zambian Central Statistics Office 1.0 This file has duplicate cases. These are valid duplicate cases – the data in the rest of the variables are different – different incomes and expenditures were received for the same activity in the same location. cassava04.NSDstat This data file contains information on cassava production within households surveyed during the ZPHSS 2004. This datafile includes information on area planted, variety planted and quantity harvested. 5103 22 Nesstar 200801 Zambian Central Statistics Office 1.0 child04.NSDstat This data file contains information on all children under 12 within households surveyed during the ZPHSS 2004. 11828 19 Nesstar 200801 Zambian Central Statistics Office 1.0 crop04.NSDstat This data file contains details about how much of each crop was planted within each field by each household surveyed during the ZPHSS 2004. It also contains information on seeds and planting times. The key variables identify crops within households. 13442 28 Nesstar 200801 Zambian Central Statistics Office 1.0 These questions were asked with respect to whether the field was monocropped (one table) or intercropped (another table). After the data were entered, the two files were merged into one crop file. The field04.sav contains a variable to indicate if the field was monocropped or intercropped. fertacq04.NSDstat This data file contains details about each fertilizer transaction channel of each household surveyed during the ZPHSS 2004. 14119 19 Nesstar 200801 Zambian Central Statistics Office 1.0 field04.NSDstat This data file contains details about the land and fields controlled by the households surveyed during the ZPHSS 2004. 17022 32 Nesstar 200801 Zambian Central Statistics Office 1.0 food_pay04.NSDstat This data file contains details about food obtained as payment for labor over two periods (May to Dec 2003, Jan 2004-April 2004) in households surveyed during the ZPHSS 2004. 1116 16 Nesstar 200801 Zambian Central Statistics Office 1.0 gg_foodaid04.NSDstat This data file contains details about gifts, grants and/or food aid given and received within households surveyed during the ZPHSS 2004. 6380 23 Nesstar 200801 Zambian Central Statistics Office 1.0 The two tables in the survey instrument were combined into one data file. The variable “gg” identifies the case with respect to whether the commodity was sent by the household (1) or received (2). hh04.NSDstat This data file contains various data on households surveyed in the ZPHSS 2001. This includes information on land use, cassava stocks and sales, maize grain processing, fertilizer acquisition, agricultural loans, agricultural commodity prices and perceptions/attitudes. 5419 105 Nesstar 200801 Zambian Central Statistics Office 1.0 id04.NSDstat This data file contains information on all households surveyed in the ZPHSS 2004. This only includes households that completed the survey (unlike the allsurid dataset, which contains all households). 5419 19 Nesstar 200801 Zambian Central Statistics Office 1.0 Two weight variables are included in this file. The first, wgt_pan, should be used for panel analysis. The second variable, wgt_pop, should be used if the data are to be analyzed separately and an estimate made for the total population. livestock04.NSDstat his data file contains information on all livestock within households surveyed in the ZPHSS 2004. 12216 14 Nesstar 200801 Zambian Central Statistics Office 1.0 milk_egg_fish04.NSDstat This data file contains information on milk and egg production and price (in the preceding 12 months) for all households surveyed in the ZPHSS 2004. 1292 20 Nesstar 200801 Zambian Central Statistics Office 1.0 prevdeaths04.NSDstat This data file contains information on deaths since April 2001 within all households surveyed in the ZPHSS 2004. 905 24 Nesstar 200801 Zambian Central Statistics Office 1.0 prod_maize04.NSDstat This data file contains information products obtained from maize grain within all households surveyed in the ZPHSS 2004. 19332 8 Nesstar 200801 Zambian Central Statistics Office 1.0 purch04.NSDstat 4175 34 Nesstar 200801 Zambian Central Statistics Office 1.0 remit04.NSDstat This data file contains information on the remittances to and from all households surveyed in the ZPHSS 2004. 2944 11 Nesstar 200801 Zambian Central Statistics Office 1.0 salwage04.NSDstat This data file contains information on the salaried employment or informal wage labour activities in households surveyed in the ZPHSS 2004. 1448 23 Nesstar 200801 Zambian Central Statistics Office 1.0 service04.NSDstat This data file contains information on advice received (in the 2002/2003 agricultural season) by households surveyed in the ZPHSS 2004. 8728 13 Nesstar 200801 Zambian Central Statistics Office 1.0 sold_stocks04.NSDstat This data file contains information on sales of crops and quantities in storage within households surveyed in the ZPHSS 2004. 11894 30 Nesstar 200801 Zambian Central Statistics Office 1.0 As is the case with the entire study, this version number indicates that this is the first version of these data examined and documented by DataFirst. veg_fruit04.NSDstat This data file contains information on the experiences of vegetable, fruit and green maize growing households surveyed during the ZPHSS 2004. 1974 9 Nesstar 200801 Zambian Central Statistics Office 1.0 crop_prices_04.NSDstat Median price per kg for the crop at the provincial level in kwacha 190 6 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table cropconv04.NSDstat Converts all harvested/sold crop units to kilograms 259 9 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table fertilizer_costs_kgs.NSDstat These are fertilizer costs, applied at the field level. Included in this data file is information on the total weight and cost of fertilizer, and total weight and cost of fertilizer used for crops asked about for panel analysis. Transport costs were also calculated. 9 7 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables foodaid_prices_04.NSDstat This dataset contains information on the median per kilogram price for a variety of products. 161 3 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table foodaidconv.NSDstat This datafile facilitates the standardisation of food quantitites to kilograms. 218 3 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table ha_conver.NSDstat Land conversion to hectares. 4 2 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table livestock_price_04.NSDstat Livestock median price. 135 7 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table livprod_price04.NSDstat This datafile contains livestock product prices. 45 3 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table purcconv.NSDstat Conversion of purchases to kilograms. 139 3 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table purch_prices_04.NSDstat This datafile contains the median price of purchased products that might be detailed in other datafiles in the ZPHSS 2004. 93 4 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table seedconv.NSDstat Seed quantity conversion to kilograms. This datafile helps the user convert various units to kilograms. 122 3 Nesstar 200801 Zambian Central Statistics Office 1.0 Lookup table adult_equivalents_2004.NSDstat Adult equivalents and size of household 5419 12 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables. crop_income_sales_ss02.NSDstat Crop income computation 5419 77 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables. hh_fertilizer_costs_kgs_all variables_ss02.NSDstat Fertilizer costs (that were not incorporated into the income file) 5419 55 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables. hh_fertilizer_costs_kgs_ss02.NSDstat Fertilizer costs 5419 22 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables hh_level_crop_detail_calories_ss02.NSDstat Individual variables for each crop computing calories retained. 5419 86 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables. See datafile notes for more information. income_gross_net_observed_ss02.NSDstat Income (gross and net) 5419 117 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables land_variables_ss02.NSDstat Land holdings 5419 34 Nesstar 200801 Zambian Central Statistics Office 1.0 livestock_income_ss02.NSDstat Live animal valuation 5419 18 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables off_farm_income_ss02.NSDstat Off farm income 5419 22 Nesstar 200801 Zambian Central Statistics Agency 1.0 Derived variables productive_assets_ss02.NSDstat Productive asset valuation 5419 13 Nesstar 200801 Zambian Central Statistics Office 1.0 Derived variables Province 6831 0 1 Central 777 2 Copperbelt 347 3 Eastern 1420 4 Luapula 593 5 Lusaka 233 6 Northern 1172 7 Nwestern 416 8 Southern 1147 9 Western 726 District 6831 0 101 Chibombo 200 102 Kabwe Urban 42 103 Kapiri Mposhi 158 104 Mkushi 71 105 Mumbwa 170 106 Serenje 136 201 Chililabombwe 18 202 Chingola 23 203 Kalulushi 27 204 Kitwe 40 205 Luanshya 33 206 Lufwanyama 63 207 Masaiti 40 208 Mpongwe 82 209 Mufulira 21 210 Ndola Urban 0 301 Chadiza 88 302 Chama 85 303 Chipata 346 304 Katete 163 305 Lundazi 291 306 Mambwe 56 307 Nyimba 59 308 Petauke 332 401 Chienge 45 402 Kawambwa 116 403 Mansa 110 404 Milenge 35 405 Mwense 107 406 Nchelenge 58 407 Samfya 122 501 Chongwe 97 502 Kafue 96 503 Luangwa 40 504 Lusaka Urban 0 601 Chilubi 64 602 Chinsali 147 603 Isoka 129 604 Kaputa 70 605 Kasama 99 606 Luwingu 100 607 Mbala 123 608 Mpika 105 609 Mporokoso 89 610 Mpulungu 73 611 Mungwi 109 612 Nakonde 64 701 Chavuma 40 702 Kabompo 79 703 Kasempa 50 704 Mufumbwe 17 705 Mwinilunga 92 706 Solwezi 89 707 Zambezi 49 801 Choma 178 802 Gwembe 41 803 Itezhi-tezhi 86 804 Kalomo 263 805 Kazungula 57 806 Livingstone 26 807 Mazabuka 159 808 Monze 140 809 Namwala 101 810 Siavonga 45 811 Sinazongwe 51 901 Kalabo 108 902 Kaoma 101 903 Lukulu 81 904 Mongu 159 905 Senanga 139 906 Sesheke 85 907 Shangombo 53 Census Supervisory Area 6831 0 1 162 44.093 33.67 1st & 2nd digit of Standard Enumeration Area (SEA) 6831 0 1 34 3.637 5.677 Household Number 6831 0 1 794 51.982 42.945 Member number 6831 0 2 53 31.969 1.532 Number of months away from household 6824 7 -8 not collected 0 0 5933 1 278 2 161 3 101 4 48 5 30 6 71 7 23 8 39 9 42 10 12 11 15 12 71 Sysmiss 7 Was this person a member of this hh in 2001? 6828 3 -8 not collected 0 1 Yes 5134 2 No 1694 Sysmiss 3 Why did this new member join the household? 1688 5143 -8 not collected 0 1 married into the family 398 2 returned to help with activities 542 3 returned to hh because he/she is sick 69 4 member was missed during 2001 survey 0 5 lost parents 344 6 fostered 100 7 other (specify) 87 8 widowed 26 9 school, to go to 38 10 old age, to be cared for 13 11 divorced 34 12 worker for hh 6 13 followed the parent 11 14 separated 5 15 visiting, decided to stay 3 16 needed help, not sick 11 17 inherited brother's wife 1 Sysmiss 5143 Year born 6828 3 -8 not collected 0 1904 1 1913 1 1914 1 1915 1 1916 3 1917 2 1918 1 1919 3 1920 11 1921 3 1922 2 1924 5 1925 5 1926 1 1927 2 1928 7 1929 5 1930 13 1931 6 1932 13 1933 5 1934 7 1935 8 1936 7 1937 8 1938 10 1939 5 1940 15 1941 2 1942 13 1943 4 1944 8 1945 16 1946 15 1947 11 1948 12 1949 9 1950 12 1951 8 1952 11 1953 8 1954 11 1955 9 1956 13 1957 14 1958 26 1959 21 1960 19 1961 12 1962 22 1963 17 1964 36 1965 30 1966 20 1967 18 1968 50 1969 35 1970 55 1971 37 1972 80 1973 49 1974 84 1975 91 1976 80 1977 84 1978 95 1979 96 1980 154 1981 143 1982 227 1983 160 1984 264 1985 282 1986 345 1987 418 1988 470 1989 629 1990 722 1991 998 1992 583 1993 20 1994 13 1995 5 1996 5 1997 2 1998 2 1999 1 2000 1 Sysmiss 3 Gender 6831 0 1 Male 3283 2 Female 3548 Relationship to head of hh 6831 0 1 head 100 2 spouse 430 3 own child 3552 4 step child 162 5 parent 105 6 brother/sister 320 7 nephew/niece 613 8 son/daughter-in-law 207 9 brother/sister-in-law 177 10 parent-in-law 48 11 grandchild 895 12 other relative 155 13 unrelated 67 Marital status 6826 5 -8 not collected 0 1 single 5299 2 monogamously married 952 3 polygamously married 166 4 divorced 163 5 widowed 189 6 separated 53 7 cohabit 4 8 other (specify) 0 Sysmiss 5 Attending school? 6831 0 1 Yes 3745 2 No 3086 Highest level of education completed 6831 0 0 None 861 1 Sub-standard A or B; Grade 1 275 2 Standard 1: Grade 2 547 3 Standard 2; Grade 3 771 4 Standard 3; Grade 4 914 5 Standard 4; Grade 5 909 6 Standard 5; Grade 6 888 7 Standard 6; Grade 7 755 8 Form 1; Grade 8 360 9 Form 2; Grade 9 273 10 Form 3; Grade 10 91 11 Form 4; Grade 11 54 12 Form 5; Grade 12 112 13 Form 6 Lower 0 14 Form 6 Upper 0 15 College Student 13 16 Undergraduate student 1 17 Certificate/Diploma 7 18 Bachelors Degree 0 19 Masters Degree & Above 0 Salaried employment? 6831 0 1 Yes 165 2 No 6666 Formal or informal business activity? 6831 0 1 Yes 228 2 No 6603 Chronically ill and unable to perform hh duties? 6828 3 -8 not collected 0 1 Yes 231 2 No 6597 Sysmiss 3 age of hh member 6828 3 4 100 20.705 12.052 Province 19116 0 1 Central 2402 2 Copperbelt 1083 3 Eastern 3689 4 Luapula 1977 5 Lusaka 622 6 Northern 3433 7 Nwestern 965 8 Southern 3061 9 Western 1884 District 19116 0 101 Chibombo 654 102 Kabwe Urban 102 103 Kapiri Mposhi 438 104 Mkushi 260 105 Mumbwa 569 106 Serenje 379 201 Chililabombwe 138 202 Chingola 97 203 Kalulushi 71 204 Kitwe 86 205 Luanshya 72 206 Lufwanyama 214 207 Masaiti 124 208 Mpongwe 187 209 Mufulira 94 210 Ndola Urban 0 301 Chadiza 232 302 Chama 219 303 Chipata 950 304 Katete 514 305 Lundazi 614 306 Mambwe 154 307 Nyimba 166 308 Petauke 840 401 Chienge 143 402 Kawambwa 373 403 Mansa 401 404 Milenge 109 405 Mwense 350 406 Nchelenge 211 407 Samfya 390 501 Chongwe 300 502 Kafue 225 503 Luangwa 97 504 Lusaka Urban 0 601 Chilubi 185 602 Chinsali 372 603 Isoka 382 604 Kaputa 171 605 Kasama 299 606 Luwingu 227 607 Mbala 369 608 Mpika 473 609 Mporokoso 274 610 Mpulungu 214 611 Mungwi 304 612 Nakonde 163 701 Chavuma 59 702 Kabompo 136 703 Kasempa 147 704 Mufumbwe 67 705 Mwinilunga 229 706 Solwezi 217 707 Zambezi 110 801 Choma 543 802 Gwembe 110 803 Itezhi-tezhi 167 804 Kalomo 543 805 Kazungula 161 806 Livingstone 91 807 Mazabuka 445 808 Monze 478 809 Namwala 218 810 Siavonga 102 811 Sinazongwe 203 901 Kalabo 281 902 Kaoma 346 903 Lukulu 205 904 Mongu 393 905 Senanga 302 906 Sesheke 221 907 Shangombo 136 Census Supervisory Area 19116 0 1 162 43.265 33.197 1st & 2nd digit of Standard Enumeration Area (SEA) 19116 0 1 34 3.558 5.484 Household Number 19116 0 1 794 53.129 44.626 Member number 19116 0 1 26 2.896 2.144 Currently a member of this household? 19116 0 1 Yes 14540 2 No 4576 If not a member, why? 4581 14535 1 left to find a job 461 2 separated 99 3 married away 1829 4 deceased 640 5 divorced 178 6 living with other relatives 1041 7 other (specify) 19 8 not given 45 9 never was a member / not known 190 10 established own home 40 11 left with mother 8 12 attend school 10 13 hired worker left 10 14 to look after mother 6 15 disagreed with head 2 16 imprisoned 1 17 treatment 2 Sysmiss 14535 Specify other (not a member) 19 0 -8 15 HOUSEHOLD DISSOLVED? 1 OUT FOR FARMING 1 POLY,POS DIED? 1 SAME KALIMA NAMATI 1 Number of months away from household 19093 23 -8 not collected 0 0 12491 1 711 2 605 3 485 4 234 5 116 6 270 7 105 8 151 9 136 10 83 11 65 12 3641 Sysmiss 23 Year born 18912 204 -8 not collected 0 1902 1 1904 2 1905 1 1908 1 1909 1 1910 5 1911 3 1912 3 1913 6 1914 16 1915 7 1916 3 1917 10 1918 20 1919 12 1920 41 1921 22 1922 23 1923 18 1924 55 1925 35 1926 41 1927 30 1928 38 1929 57 1930 101 1931 72 1932 147 1933 66 1934 98 1935 95 1936 139 1937 83 1938 131 1939 107 1940 163 1941 102 1942 208 1943 128 1944 139 1945 152 1946 146 1947 176 1948 179 1949 174 1950 170 1951 111 1952 233 1953 185 1954 228 1955 149 1956 219 1957 223 1958 288 1959 221 1960 288 1961 182 1962 301 1963 230 1964 425 1965 236 1966 271 1967 207 1968 430 1969 297 1970 433 1971 314 1972 485 1973 416 1974 509 1975 476 1976 534 1977 453 1978 545 1979 603 1980 712 1981 564 1982 781 1983 699 1984 754 1985 691 1986 635 1987 526 1988 418 1989 226 1990 87 1991 76 1992 18 1993 2 1994 2 1995 1 1996 1 Sysmiss 204 Gender 18241 875 -8 not collected 0 1 Male 9043 2 Female 9198 Sysmiss 875 Relationship to head of hh 18234 882 -8 not collected 0 1 head 5319 2 spouse 3967 3 own child 5749 4 step child 210 5 parent 158 6 brother/sister 618 7 nephew/niece 609 8 son/daughter-in-law 173 9 brother/sister-in-law 229 10 parent-in-law 41 11 grandchild 768 12 other relative 222 13 unrelated 171 Sysmiss 882 Marital status 18229 887 -8 not collected 0 1 single 5767 2 monogamously married 9393 3 polygamously married 1250 4 divorced 573 5 widowed 1093 6 separated 143 7 cohabit 8 8 other (specify) 1 9 don't know 1 Sysmiss 887 Attending school? 18227 889 -8 not collected 0 1 Yes 2265 2 No 15962 Sysmiss 889 Highest level of education completed 18223 893 -8 not collected 0 0 None 2937 1 Sub-standard A or B; Grade 1 614 2 Standard 1: Grade 2 935 3 Standard 2; Grade 3 1195 4 Standard 3; Grade 4 1459 5 Standard 4; Grade 5 1415 6 Standard 5; Grade 6 2038 7 Standard 6; Grade 7 3182 8 Form 1; Grade 8 1134 9 Form 2; Grade 9 1455 10 Form 3; Grade 10 484 11 Form 4; Grade 11 295 12 Form 5; Grade 12 776 13 Form 6 Lower 5 14 Form 6 Upper 2 15 College Student 67 16 Undergraduate student 12 17 Certificate/Diploma 202 18 Bachelors Degree 12 19 Masters Degree & Above 4 Sysmiss 893 Salaried employment? 15967 3149 -8 not collected 0 1 Yes 1312 2 No 14655 Sysmiss 3149 Formal or informal business activity? 15967 3149 -8 not collected 0 1 Yes 1780 2 No 14187 Sysmiss 3149 Chronically ill and unable to perform hh duties? 15385 3731 -8 not collected 0 1 Yes 982 2 No 14403 Sysmiss 3731 Comments 113 0 2001 extended family listed 1 2004 AGES MAY BE MORE ACCURATE?? 1 2004 AGES MORE ACCURATE 1 ADDED AS PER 2004 1 AGE NO MATCH 1 ALSO HEAD FOR HH26, NEXT HH 1 APPEARS TO BE SAME HH - AGES QUITE DIFFERENT 1 APPEARS TO NOT BE THE SAME HH 1 BDATE IN 2001 WAS 1940 1 BIRTH DATE IS OFF 1 BIRTH DATES ARE WIERD 3 CHECK B DATE 1 DATA ENTRY MISSED 1 DATES SUSPICOUS 1 DAUGHTER - NOT FORMER WIFE 1 DIED BEFORE 04 1 DIFFERENT HOUSEHOLD 1 DIFFERENT RESPONDENT 1 DOES NOT MATCH 2001 DATA 1 HH MAY NOT BE SAME?? 1 HH SURVEY MISSING 2 IN HH25 AS SPOUSE, POLYGAMOUSLY MARRIED 1 NAMED MODESS IN 01 1 NO BDATE IN 2001 2 NOT MEMBER OF HH 1 NOT SAME AS 2001 1 NOT SAME HH - DAUGHTER? 1 NOT SAME HH - FATHER INTERVIEWED INSTEAD 1 NOT SAME HH - FATHER TO HH IN 2001 1 NOT SAME HH - SON INTERVIEWED IN 2004 1 NOT SAME HH - SON WAS INTERVIEWED INSTEAD 1 NOT SAME HH 2001, ENUM CHANGED 3 NOT SAME HH AS 2001 39 NOT SAME HH AS 2001 - AGE DIFF 1 NOT SAME HH AS 2001 - FATHER? 1 NOT SAME HH AS 2001!! 1 NOT SAME HH AS 2001, OLDER 1 NOT SAME HH AS 2001, WAS PAUL 1 NOT SAME HH AS 2001,DIFF HEAD 1 NOT SAME HH AS IN 2001 1 NOT SAME HH AS INTERVIEWED IN 2001 1 NOT SAME HH; SONS HH 1 NOT SAME HH? 1 NOT SAME HOUSEHOLD 1 NOT SAME MEM AS 2001 1 OK 1 POLY MARRIED - DIFF HH INTERVIEWED THIS TIME 1 RELATION & AGE NO MATCH 1 SAME AS 2001? 1 SHOULD BE IN ADD ADULTS 3 SIMWALE LAZAROUS IN 01 1 SON OF ORIG HEAD? 1 TOTALLY DIFFERENT HH 1 WRONG HH, INTERVIEWED FATHER 1 WRONG HOUSEHOLD 1 WRONG HOUSEHOLD! 1 WRONG HOUSEHOLDS 1 birth dates, rel don't match? 1 checked 4 has asthma FATHER INTERVIEWED THIS TIME - NOT SAME 1 interviewed father rather than son as in 2001, the 1 no 2001 HH survey found 1 not same hh as in 2001 1 village name changed diff hh? 1 age of hh member 18912 204 8 102 35.729 16.732 Province 6922 0 1 Central 714 2 Copperbelt 393 3 Eastern 1331 4 Luapula 777 5 Lusaka 214 6 Northern 1363 7 Nwestern 472 8 Southern 872 9 Western 786 District 6922 0 101 907 513.353 254.359 Census Supervisory Area 6922 0 1 162 42.871 32.823 1st & 2nd digit of Standard Enumeration Area (SEA) 6922 0 1 34 3.571 5.52 Household Number 6922 0 1 837 54.15 49.47 Village 6814 0 Is this person still the head? 5812 1110 1 Yes 5242 2 No 570 Sysmiss 1110 Household head in 2004 1484 0 Is this the same household? 552 6370 1 Yes 460 2 No 92 Sysmiss 6370 Category of farmer 6922 0 1 A - small scale holding 6164 2 B - medium scale holding 758 Is this the same respondent from 2001? 5885 1037 1 Yes 3217 2 No 2668 Sysmiss 1037 Response status 6922 0 1 Completed 5419 2 Refusal 14 3 Moved out of SEA 707 4 Hh dissolved 390 5 Non-contact 362 6 HH skipped & not interviewed 30 Enumerator code 6887 35 0 959 417.568 315.024 Supervisor code 6887 35 0 952 492.532 262.437 6892 30 1 1361 511.475 348.068 Member number of respondent 5419 1503 -8 37 3.239 6.618 Province 102942 0 1 Central 10887 2 Copperbelt 5928 3 Eastern 21394 4 Luapula 11761 5 Lusaka 3059 6 Northern 19513 7 Nwestern 6137 8 Southern 13091 9 Western 11172 District 102942 0 101 Chibombo 2622 102 Kabwe Urban 513 103 Kapiri Mposhi 2090 104 Mkushi 1330 105 Mumbwa 2375 106 Serenje 1957 201 Chililabombwe 608 202 Chingola 494 203 Kalulushi 361 204 Kitwe 513 205 Luanshya 399 206 Lufwanyama 1216 207 Masaiti 722 208 Mpongwe 1140 209 Mufulira 475 210 Ndola Urban 0 301 Chadiza 1501 302 Chama 1273 303 Chipata 5225 304 Katete 3021 305 Lundazi 3933 306 Mambwe 950 307 Nyimba 988 308 Petauke 4503 401 Chienge 779 402 Kawambwa 2128 403 Mansa 2375 404 Milenge 627 405 Mwense 2128 406 Nchelenge 1235 407 Samfya 2489 501 Chongwe 1482 502 Kafue 1026 503 Luangwa 551 504 Lusaka Urban 0 601 Chilubi 1197 602 Chinsali 2071 603 Isoka 2147 604 Kaputa 1064 605 Kasama 1729 606 Luwingu 1539 607 Mbala 1976 608 Mpika 2679 609 Mporokoso 1292 610 Mpulungu 1254 611 Mungwi 1615 612 Nakonde 950 701 Chavuma 399 702 Kabompo 950 703 Kasempa 703 704 Mufumbwe 456 705 Mwinilunga 1444 706 Solwezi 1425 707 Zambezi 760 801 Choma 2185 802 Gwembe 532 803 Itezhi-tezhi 798 804 Kalomo 2090 805 Kazungula 779 806 Livingstone 513 807 Mazabuka 1729 808 Monze 1995 809 Namwala 817 810 Siavonga 570 811 Sinazongwe 1083 901 Kalabo 1653 902 Kaoma 2147 903 Lukulu 1349 904 Mongu 2128 905 Senanga 1577 906 Sesheke 1368 907 Shangombo 950 Census Supervisory Area 102942 0 1 162 42.817 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 102942 0 1 34 3.638 5.613 Household Number 102942 0 1 794 53.585 45.69 Asset owned 102942 0 1 Ox-drawn ploughs 5418 2 Disc ploughs 5418 3 Harrows 5418 4 Cultivators 5418 5 Rippers 5418 6 Tractors 5418 7 Hand driven tractors 5418 8 Scotch carts 5418 9 Water pumps 5418 10 Trucks / lorries 5418 11 Pick-ups / vans / cars 5418 12 Trailer truck / tractor 5418 13 Motorcycles 5418 14 Bicycles 5418 15 Hammer mills 5418 16 Hand hammer mills 5418 17 Rump presses / oil expellers 5418 18 Sprayers 5418 19 Shellers 5418 Did you own this asset since May 2003? 102942 0 1 Yes 5990 2 No 96952 How many did you have in working condition in May 2003? 5988 96954 -8 not collected 0 0 259 1 4489 2 906 3 238 4 54 5 25 6 10 7 3 8 3 9 1 Sysmiss 96954 How many do you have in working condition now? 102941 1 -8 not collected 0 0 97119 1 4629 2 870 3 221 4 62 5 20 6 12 7 4 8 2 9 1 12 1 Sysmiss 1 How much would they fetch in total now, if sold? 5822 97120 -8 not collected 0 10000 1 15000 13 20000 19 24000 1 25000 13 28000 1 30000 17 31000 1 35000 3 40000 31 45000 9 50000 115 55000 3 60000 56 62000 1 65000 4 70000 67 75000 19 80000 123 84000 1 85000 7 90000 68 95000 11 96000 1 99000 1 100000 387 102000 1 105000 2 107000 1 110000 17 111000 1 115000 1 120000 159 124000 2 125000 4 130000 49 132000 1 135000 3 140000 34 144000 1 145000 4 150000 639 152000 1 155000 1 160000 36 165000 2 170000 45 175000 8 180000 184 182000 1 185000 2 189000 1 190000 26 195000 2 200000 701 205000 1 210000 16 215000 5 220000 51 225000 3 230000 21 240000 32 250000 429 254000 1 256000 1 260000 24 265000 5 266000 1 270000 14 275000 1 280000 81 285000 3 290000 3 300000 440 305000 2 310000 5 312000 1 315000 1 320000 23 325000 2 330000 5 335000 3 340000 4 345000 1 350000 155 355000 1 360000 25 370000 8 375000 1 380000 24 382500 1 384000 1 385000 1 390000 5 395000 3 400000 240 410000 1 420000 5 430000 4 440000 2 450000 88 460000 6 470000 4 475000 1 480000 14 490000 1 500000 191 510000 4 520000 3 530000 1 540000 2 550000 9 560000 8 570000 4 580000 4 590000 1 600000 149 630000 2 650000 12 660000 2 680000 3 700000 60 720000 4 740000 1 750000 33 780000 1 790000 1 800000 104 810000 1 820000 1 840000 3 850000 8 860000 1 875000 1 880000 1 890000 1 900000 52 925000 1 950000 4 960000 2 1000000 88 1040000 1 1050000 3 1080000 1 1100000 4 1140000 1 1200000 30 1200500 1 1290000 1 1300000 6 1340000 1 1400000 10 1450000 1 1500000 66 1600000 9 1700000 2 1750000 1 1800000 10 1900000 1 2000000 28 2100000 1 2200000 1 2300000 1 2400000 2 2500000 7 2700000 1 3000000 24 3500000 7 3800000 1 4000000 14 4197500 1 4200000 1 4500000 5 5000000 15 5200000 1 5500000 2 5700000 1 6000000 13 6500000 3 6800000 1 6900000 1 7000000 7 7500000 1 8000000 11 8500000 1 9000000 1 9600000 1 10000000 20 10500000 1 11000000 1 12000000 6 13000000 3 14000000 1 15000000 10 16000000 5 17000000 2 18000000 3 19000000 1 20000000 8 22000000 1 25000000 3 28000000 1 30000000 4 30800000 1 32000000 1 35000000 4 40000000 4 60000000 1 70000000 1 100000000 1 120000000 2 Sysmiss 97120 Comments 5 0 CHECKED 1 CHECKED OK 4 Province 2065 0 1 Central 228 2 Copperbelt 102 3 Eastern 186 4 Luapula 347 5 Lusaka 91 6 Northern 500 7 Nwestern 82 8 Southern 223 9 Western 306 District 2065 0 101 Chibombo 48 102 Kabwe Urban 14 103 Kapiri Mposhi 54 104 Mkushi 25 105 Mumbwa 49 106 Serenje 38 201 Chililabombwe 18 202 Chingola 12 203 Kalulushi 10 204 Kitwe 5 205 Luanshya 8 206 Lufwanyama 14 207 Masaiti 12 208 Mpongwe 13 209 Mufulira 10 210 Ndola Urban 0 301 Chadiza 12 302 Chama 9 303 Chipata 43 304 Katete 20 305 Lundazi 33 306 Mambwe 7 307 Nyimba 10 308 Petauke 52 401 Chienge 28 402 Kawambwa 63 403 Mansa 50 404 Milenge 13 405 Mwense 66 406 Nchelenge 59 407 Samfya 68 501 Chongwe 43 502 Kafue 25 503 Luangwa 23 504 Lusaka Urban 0 601 Chilubi 46 602 Chinsali 45 603 Isoka 45 604 Kaputa 47 605 Kasama 39 606 Luwingu 56 607 Mbala 39 608 Mpika 38 609 Mporokoso 28 610 Mpulungu 36 611 Mungwi 51 612 Nakonde 30 701 Chavuma 9 702 Kabompo 2 703 Kasempa 16 704 Mufumbwe 8 705 Mwinilunga 8 706 Solwezi 35 707 Zambezi 4 801 Choma 23 802 Gwembe 6 803 Itezhi-tezhi 30 804 Kalomo 35 805 Kazungula 25 806 Livingstone 18 807 Mazabuka 17 808 Monze 25 809 Namwala 21 810 Siavonga 7 811 Sinazongwe 16 901 Kalabo 46 902 Kaoma 49 903 Lukulu 39 904 Mongu 69 905 Senanga 83 906 Sesheke 18 907 Shangombo 2 Census Supervisory Area 2065 0 1 162 38.973 29.82 1st & 2nd digit of Standard Enumeration Area (SEA) 2065 0 1 34 3.173 4.582 Household Number 2065 0 1 538 51.353 42.156 Member number 2065 0 1 36 4.946 9.148 Activity 2064 1 -8 not collected 0 1 agricultural trading 214 2 livestock trading 48 3 retailer /shopowner 205 4 marketer/hawker/vendor 474 5 firewood/charcoal production 84 6 carpentry 44 7 builder 21 8 local brewing 276 9 butchery (all meats including game, cooked/uncooked) 12 10 agric services (plowing,planting,spraying) 12 11 milling 25 12 oil processing 11 13 agro processing 5 14 tailor 23 15 bicycle repair 1 16 weaving 56 17 blacksmithing 23 18 traditional doctor 11 19 fishing & selling 343 20 precious stone mining (small scale) 1 21 other 175 Sysmiss 1 Where was the activity carried out? 2059 6 -8 not collected 0 1 within village 1310 2 within district (rural) 270 3 within district (urban) 278 4 other district (rural) 32 5 other district (urban) 164 6 another country 5 Sysmiss 6 May 2003 2063 2 -8 not collected 0 1 High 883 2 Low 531 3 None 649 Sysmiss 2 June 2003 2063 2 -8 not collected 0 1 High 918 2 Low 490 3 None 655 Sysmiss 2 July 2003 2063 2 -8 not collected 0 1 High 901 2 Low 507 3 None 655 Sysmiss 2 August 2003 2063 2 -8 not collected 0 1 High 906 2 Low 537 3 None 620 Sysmiss 2 September 2003 2063 2 -8 not collected 0 1 High 839 2 Low 533 3 None 691 Sysmiss 2 October 2003 2063 2 -8 not collected 0 1 High 786 2 Low 573 3 None 704 Sysmiss 2 November 2003 2063 2 -8 not collected 0 1 High 652 2 Low 587 3 None 824 Sysmiss 2 December 2003 2063 2 -8 not collected 0 1 High 591 2 Low 492 3 None 980 Sysmiss 2 January 2004 2063 2 -8 not collected 0 1 High 524 2 Low 478 3 None 1061 Sysmiss 2 Feburary 2004 2063 2 -8 not collected 0 1 High 488 2 Low 515 3 None 1060 Sysmiss 2 March 2004 2063 2 -8 not collected 0 1 High 589 2 Low 555 3 None 919 Sysmiss 2 April 2004 2063 2 -8 not collected 0 1 High 697 2 Low 551 3 None 815 Sysmiss 2 High earnings month, total gross income (ZMK) 2063 2 -8 not collected 0 0 58 3000 1 3500 1 4000 1 5000 10 6000 3 6500 1 7500 1 8000 3 9000 1 10000 23 12000 8 13000 3 14000 2 15000 29 15500 3 16000 3 17000 4 18000 4 19600 1 20000 58 23000 1 24000 4 25000 40 26000 1 27500 1 28000 1 29000 3 30000 73 32000 3 34000 2 35000 20 37000 1 38000 2 39000 1 40000 65 42000 3 45000 20 46000 2 48000 3 50000 96 52000 1 54000 1 55000 11 56000 2 60000 74 64000 2 65000 5 68000 1 70000 46 71000 1 72000 3 75000 18 76000 1 78000 1 79000 1 80000 70 82000 1 82500 1 84000 1 85000 10 86000 1 87000 1 88000 1 90000 31 95000 5 96000 2 98000 1 100000 136 103000 1 104000 1 105000 7 108000 2 110000 2 112000 1 112200 1 114000 1 115000 1 116000 1 120000 43 125000 6 130000 11 133000 1 140000 12 144000 1 150000 93 155000 1 160000 13 170000 5 172000 1 175000 1 180000 25 182000 1 190000 2 200000 110 208000 1 210000 5 215000 1 216000 1 217000 1 220000 4 225000 2 230000 4 235000 1 240000 9 245000 1 250000 42 252000 1 260000 4 270000 4 275000 1 280000 9 300000 106 320000 9 330000 1 340000 1 350000 28 354000 1 360000 8 365000 1 370000 1 385000 1 386000 1 390000 1 400000 52 420000 1 425000 3 430000 1 432000 1 440000 2 442000 1 450000 13 460000 1 468000 1 470000 2 480000 4 500000 83 514000 1 520000 1 540000 2 550000 2 560000 1 565000 1 580000 1 590000 1 600000 28 640000 2 650000 6 660000 1 700000 26 750000 5 780000 2 800000 23 810000 1 836000 1 840000 1 845000 1 848000 1 850000 2 860000 1 900000 21 950000 3 1000000 20 1040000 1 1050000 1 1100000 2 1174100 1 1200000 12 1270000 1 1275000 1 1280000 1 1300000 5 1345000 1 1400000 4 1500000 27 1550000 1 1600000 5 1620000 1 1700000 1 1800000 7 1900000 1 2000000 17 2100000 2 2170000 1 2300000 1 2400000 1 2500000 10 2800000 1 2880000 1 3000000 10 3150000 1 3200000 2 3210000 1 3500000 5 3600000 3 4000000 2 4400000 1 4500000 2 5000000 5 5200000 1 5600000 1 5800000 1 6000000 4 7000000 3 8000000 2 8700000 1 10000000 3 11000000 1 12000000 1 13500000 1 23000000 1 85000000 1 Sysmiss 2 High earnings month, expenses (ZMK) 2061 4 -8 not collected 0 0 237 1000 4 1500 3 2000 13 2300 1 2500 4 3000 19 3200 1 3500 7 4000 10 4500 1 5000 51 5500 1 6000 13 6700 1 7000 9 7500 6 8000 14 8500 1 9000 7 9500 1 10000 96 10500 1 11000 2 11500 1 12000 17 12500 2 12800 1 13000 4 14000 6 14500 1 15000 67 15500 1 16000 9 17000 1 17500 3 18000 6 18500 1 19000 5 19200 1 19500 1 20000 126 21000 6 22000 3 22100 1 23000 2 24000 5 25000 42 26000 3 27000 3 28000 3 28100 1 29000 3 30000 100 31000 3 32000 5 35000 25 36000 6 36500 1 37000 1 37500 1 38000 2 40000 58 40500 1 41000 2 42000 2 42500 1 44000 1 45000 16 48000 1 48750 1 49000 3 50000 139 52000 1 52300 1 52500 1 53000 1 55000 4 56000 3 58000 2 60000 45 63500 1 65000 7 68000 2 69000 1 70000 33 71000 1 72000 2 73000 1 75000 14 76000 1 80000 47 82000 1 83000 1 84000 1 85000 3 86000 1 87000 1 90000 15 95000 6 96000 1 98000 1 99000 2 100000 106 102000 1 103000 1 105000 1 106000 1 110000 7 115000 1 120000 21 125000 2 126000 1 127000 1 128000 1 130000 5 132000 1 138000 1 140000 4 144000 1 150000 58 158000 1 160000 5 169000 1 170000 9 172800 1 175000 1 180000 18 187000 1 189998 1 190000 1 200000 86 205000 1 210000 3 220000 3 225000 1 230000 3 232000 1 240000 1 250000 24 270000 4 276000 1 280000 2 290000 2 300000 56 312000 1 320000 1 339000 1 350000 12 360000 3 370000 1 380000 1 400000 28 405000 1 420000 1 430000 1 438100 1 450000 5 460000 1 480000 1 496000 1 500000 34 516000 1 520000 2 530000 1 550000 1 555000 1 560000 1 600000 8 616000 1 620000 1 630000 1 650000 2 660000 1 671000 1 676000 1 690000 1 700000 12 720000 1 750000 2 752500 1 800000 11 810000 1 840000 1 850000 1 900000 2 922000 1 950000 1 952000 1 975000 1 1000000 13 1050000 1 1060000 1 1100000 2 1200000 4 1300000 2 1400000 3 1500000 8 1700000 3 1800000 3 2000000 3 2300000 1 2320000 1 2400000 1 2500000 4 2700000 1 3000000 4 3200000 2 3400000 1 4000000 1 4500000 2 5000000 1 6000000 2 8000000 1 9000000 1 20000000 1 45000000 1 Sysmiss 4 Low earnings month, total gross income (ZMK) 2053 12 -8 not collected 0 0 438 2000 6 3000 7 3500 1 4000 3 5000 26 5500 1 6000 5 7000 7 7500 1 8000 9 9000 4 10000 56 11000 1 12000 13 12500 1 13500 1 14000 5 15000 72 16000 7 17000 2 18000 9 18500 1 19000 1 20000 81 21000 1 22000 8 23000 2 24000 2 25000 50 27000 2 27500 1 28000 4 29000 4 30000 104 30500 1 32000 1 34000 1 35000 23 36000 5 38000 1 40000 73 42000 2 45000 18 48000 2 49000 1 50000 102 52500 1 55000 7 56000 2 58000 3 59000 1 60000 49 61500 1 64000 2 65000 10 66000 3 67000 1 70000 50 71500 1 72000 1 75000 8 76000 1 80000 55 82000 1 83000 2 84000 1 85000 6 86000 1 87000 1 90000 29 93000 1 95000 4 96000 1 98000 1 99000 1 100000 101 105000 2 110000 6 112000 2 120000 34 123000 1 125000 2 130000 4 134000 1 140000 3 144000 1 150000 74 160000 8 165000 1 166000 1 170000 4 175000 1 180000 17 186000 1 190000 4 192000 1 200000 67 210000 2 215000 1 220000 2 230000 2 234000 1 240000 5 250000 27 260000 3 270000 1 280000 5 290000 1 300000 40 320000 1 340000 1 350000 14 360000 2 390000 1 400000 21 410000 1 420000 1 450000 10 468000 1 480000 2 500000 30 580000 1 585200 1 590000 1 600000 17 620000 1 650000 6 660000 1 680000 2 700000 11 750000 2 800000 9 835000 1 851000 1 900000 7 950000 1 960000 2 1000000 16 1150000 1 1200000 4 1300000 2 1350000 1 1400000 4 1440000 1 1500000 9 1600000 3 1800000 1 1850000 1 2000000 2 2160000 1 2300000 1 2400000 1 2500000 3 2800000 1 3000000 2 4000000 1 4500000 1 5000000 2 5500000 1 6000000 1 7000000 2 8000000 2 9000000 1 18900000 1 40000000 1 Sysmiss 12 Low earnings month, expenses (ZMK) 2053 12 -8 not collected 0 0 588 1000 11 1500 5 2000 11 2200 1 2500 7 3000 21 3500 3 4000 8 5000 75 6000 9 6400 1 6500 2 7000 21 7500 5 8000 17 8500 1 9000 6 9500 1 10000 112 10200 1 11000 5 12000 22 12500 1 13000 3 14000 4 15000 84 16000 5 17000 3 17500 1 18000 9 20000 119 21000 2 23000 2 24000 7 25000 44 28000 6 28100 1 29000 3 30000 85 32000 1 34000 1 35000 24 36000 2 37000 1 40000 53 42000 1 44000 1 45000 14 47000 1 48000 1 50000 109 52000 3 52300 1 54000 2 55000 3 56000 2 58000 2 60000 45 63500 1 65000 6 68000 1 70000 26 73000 1 75000 8 80000 48 83000 1 85000 4 86000 1 90000 5 93000 1 94000 1 95000 4 99000 1 100000 72 105000 2 110000 2 114000 1 115000 2 116000 1 119000 1 120000 11 126000 1 130000 3 140000 3 142000 1 150000 43 155000 1 156000 1 160000 4 165000 1 168000 1 170000 1 180000 4 189998 1 192000 1 199000 1 200000 41 210000 1 220000 1 230000 1 240000 2 250000 28 260000 1 270000 2 280000 1 295200 1 300000 18 315000 1 350000 5 395000 1 400000 17 445000 1 450000 3 460000 1 500000 20 511800 1 558500 1 560000 2 580000 1 600000 6 650000 1 692000 1 700000 4 800000 4 900000 2 920000 1 945000 1 950000 1 1000000 10 1200000 1 1250000 1 1480000 1 1500000 4 1700000 1 1800000 1 1900000 1 2000000 2 2400000 2 2500000 1 3500000 1 4000000 2 4700000 1 5000000 2 6500000 1 10000000 1 15000000 1 Sysmiss 12 Comments 14 0 CHECKED 12 checked 2 Province 5103 0 1 Central 164 2 Copperbelt 102 3 Eastern 54 4 Luapula 1644 5 Lusaka 9 6 Northern 2207 7 Nwestern 398 8 Southern 19 9 Western 506 District 5103 0 101 Chibombo 6 102 Kabwe Urban 3 103 Kapiri Mposhi 22 104 Mkushi 27 105 Mumbwa 11 106 Serenje 95 201 Chililabombwe 9 202 Chingola 12 203 Kalulushi 1 204 Kitwe 15 205 Luanshya 12 206 Lufwanyama 13 207 Masaiti 8 208 Mpongwe 21 209 Mufulira 11 210 Ndola Urban 0 301 Chadiza 1 302 Chama 4 303 Chipata 14 304 Katete 1 305 Lundazi 28 306 Mambwe 1 307 Nyimba 0 308 Petauke 5 401 Chienge 112 402 Kawambwa 299 403 Mansa 350 404 Milenge 53 405 Mwense 301 406 Nchelenge 154 407 Samfya 375 501 Chongwe 7 502 Kafue 2 503 Luangwa 0 504 Lusaka Urban 0 601 Chilubi 139 602 Chinsali 207 603 Isoka 202 604 Kaputa 111 605 Kasama 214 606 Luwingu 221 607 Mbala 213 608 Mpika 283 609 Mporokoso 184 610 Mpulungu 141 611 Mungwi 176 612 Nakonde 116 701 Chavuma 41 702 Kabompo 66 703 Kasempa 10 704 Mufumbwe 18 705 Mwinilunga 141 706 Solwezi 59 707 Zambezi 63 801 Choma 2 802 Gwembe 0 803 Itezhi-tezhi 14 804 Kalomo 2 805 Kazungula 1 806 Livingstone 0 807 Mazabuka 0 808 Monze 0 809 Namwala 0 810 Siavonga 0 811 Sinazongwe 0 901 Kalabo 84 902 Kaoma 115 903 Lukulu 97 904 Mongu 118 905 Senanga 92 906 Sesheke 0 907 Shangombo 0 Census Supervisory Area 5103 0 1 133 36.045 26.371 1st & 2nd digit of Standard Enumeration Area (SEA) 5103 0 1 34 3.137 4.267 Household Number 5103 0 1 538 52.277 42.13 Field number 5103 0 1 645 2 954 3 965 4 792 5 576 6 423 7 278 8 192 9 122 10 62 11 38 12 26 13 13 14 9 15 3 16 3 17 1 18 1 Crop 5103 0 1 Maize 0 2 Sorghum 0 3 Rice 0 4 Millet 0 5 Sunflower 0 6 Groundnuts 0 7 Soyabeans 0 8 Seed Cotton 0 9 Irish potatoes 0 10 Virginia tobacco 0 11 Burley tobacco 0 12 Mixed beans 0 13 Bambara nuts 0 14 Cowpeas 0 15 Velvet beans 0 16 Coffee 0 17 Sweet potatoes 0 18 Raw Cassava 5103 19 Kenaf 0 20 Cashew nut 0 21 Other crops 0 22 Paprika 0 60 Popcorn 0 61 Sugarcane 0 62 Sugar beans 0 63 Green gum 0 64 Guine peas 0 65 Not specified 0 80 cassava flour 0 81 cassava chips 0 Variety of cassava 5103 0 1 Bangweulu 129 2 Nalumino 511 3 Kapumba 81 4 Chila 2 5 Mweru 12 6 Tanganyika 2 7 Mwakumoya 97 8 Chilimabeni 358 9 Mun'ganga 146 10 Lunduluka 24 11 Mwabikasanga 1 12 Lutundwe 6 13 Sendamina 16 14 Kasangami 10 15 Mukaka 44 16 Mutobamputa 111 17 Mushinge 28 18 Mbelekwa 34 19 Kabala 316 20 Belyati 4 21 Sangachila 10 22 Bunganabutuba 18 23 Chinkondya 4 24 Bwelela 85 25 Improved other 99 26 Local other 2719 27 Do not know 63 28 Other (specify) 14 29 Busumani 1 30 Chalwe mwika 4 31 Chamba 1 32 Chandwa 1 33 Chanta 1 34 Chibunganga 2 35 Chifita 1 36 Chipala 4 37 Chipyapya 1 38 Isangano 4 39 Kabalaushi 2 40 Kaboke 4 41 Kalundu 3 42 Kaluunga 1 43 Kasakata 3 44 Kasasa 1 45 Katali 1 46 Katamba 1 47 Katongo 4 48 Lilanda 2 49 Losa Namukuni 2 50 Lubuta 2 51 Luwingu 6 52 Lyongo 2 53 Makasa 1 54 Manyopola 1 55 Mapona 1 56 Masabwa 1 57 Mashila 14 58 Masonge 2 59 Mbula 2 60 Mofya Mabo 1 61 Mpemba 1 62 Mukuni 13 63 Muti Lunga 3 64 Mwaka 11 65 Mwanakazembe 3 66 Mwansa Mfungo 8 67 Mwikala FwiFwi 10 68 Namabele 3 69 Nasambwa 1 70 Naselu 5 71 Natolo 1 72 Ngulula 1 73 Njemba 1 74 Nyalimboto 1 75 Nyanta 1 76 Panta 2 77 Rosa 1 78 Sakaliya 4 79 Sangano 1 80 Shijau 1 81 Tambalala 5 82 Tambula 3 83 Chipasha 2 Other variety specify 173 0 BUSUMANI 1 CHALWE MWIKA 4 CHAMBA 1 CHANDWA 1 CHANTA 1 CHIBUNGANGA 2 CHIFITA 1 CHIPALA 4 CHIPASHA 2 CHIPYAPYA 1 ISANGANO 4 KABALAUSHI 2 KABOKE 4 KALUNDU 3 KALUUNGA 1 KASAKATA 3 KASASA 1 KATALI 1 KATAMBA 1 KATONGO 1 KATONGO CHAMBESHI 1 KATONSO CHAMBESHI 2 LILANDA 2 LOSA NAMUKUNI 2 LUBUTA 2 LUWINGU 6 LYONGO 2 MAKASA CASSAVA 1 MANYOPOLA 1 MAPONA 1 MASABWA 1 MASHILA 14 MASONGE 2 MBULA 2 MOFYA MABO 1 MPEMBA 1 MUKUNI 13 MUTI LUNGA 3 MWAKA 11 MWAKAMFUNGE 2 MWANAKAZEMBE SONDOLO 3 MWANSA MFUNGO 6 MWIKALA FWIFWI 10 NAMABELE 3 NASAMBWA 1 NASELU 5 NATOLO 1 NGULULA 1 NJEMBA 1 NOT SPECIFIED 14 NYALIMBOTO 1 NYANTA 1 PANTA 2 ROSA 1 SAKALIYA 4 SANGANO 1 SHIJAU 1 TAMBALALA 3 TAMBALALA & MAKASA 2 TAMBULA 3 Area of cassava 5103 0 0.12 12 1.171 0.765 Unit of measure for area 5103 0 1 lima 4142 2 acre 679 3 hectare 282 Total hectares 5103 0 0.0625 3 0.366 0.318 Year cassava planted 5103 0 1995 1 2000 605 2001 1261 2002 2281 2003 949 2004 6 Month cassava planted 5103 0 1 January 843 2 February 346 3 March 162 4 April 0 5 May 0 6 June 0 7 July 0 8 August 0 9 September 0 10 October 0 11 November 1650 12 December 2102 Is cassava mature in this field? 5103 0 1 Yes 3195 2 No 1908 Quantity of cassava harvested (50 kg bags) 3194 1909 0 400 19.539 23.567 Total kgs harvested 3194 1909 0 23800 1162.569 1402.242 Quantity of cassava that could have been harvested (50 kg bags) 3195 1908 0 1000 49.168 51.144 Comments 1 0 not a dup 1 Conversion value to hectares 5103 0 0.25 1 0.312 0.174 Unit of measure 5103 0 2 50 kg bag 5103 Final conversion value 5103 0 59.5 59.5 59.5 0 Province 11828 0 1 Central 1278 2 Copperbelt 622 3 Eastern 2435 4 Luapula 1318 5 Lusaka 379 6 Northern 2136 7 Nwestern 749 8 Southern 1793 9 Western 1118 District 11828 0 101 Chibombo 313 102 Kabwe Urban 54 103 Kapiri Mposhi 237 104 Mkushi 141 105 Mumbwa 315 106 Serenje 218 201 Chililabombwe 68 202 Chingola 47 203 Kalulushi 35 204 Kitwe 60 205 Luanshya 43 206 Lufwanyama 126 207 Masaiti 69 208 Mpongwe 141 209 Mufulira 33 210 Ndola Urban 0 301 Chadiza 170 302 Chama 134 303 Chipata 583 304 Katete 321 305 Lundazi 454 306 Mambwe 106 307 Nyimba 109 308 Petauke 558 401 Chienge 113 402 Kawambwa 238 403 Mansa 253 404 Milenge 76 405 Mwense 229 406 Nchelenge 125 407 Samfya 284 501 Chongwe 200 502 Kafue 102 503 Luangwa 77 504 Lusaka Urban 0 601 Chilubi 113 602 Chinsali 223 603 Isoka 241 604 Kaputa 135 605 Kasama 198 606 Luwingu 155 607 Mbala 235 608 Mpika 290 609 Mporokoso 128 610 Mpulungu 130 611 Mungwi 187 612 Nakonde 101 701 Chavuma 65 702 Kabompo 111 703 Kasempa 68 704 Mufumbwe 59 705 Mwinilunga 165 706 Solwezi 177 707 Zambezi 104 801 Choma 318 802 Gwembe 76 803 Itezhi-tezhi 117 804 Kalomo 299 805 Kazungula 86 806 Livingstone 45 807 Mazabuka 255 808 Monze 292 809 Namwala 151 810 Siavonga 50 811 Sinazongwe 104 901 Kalabo 166 902 Kaoma 199 903 Lukulu 136 904 Mongu 208 905 Senanga 191 906 Sesheke 135 907 Shangombo 83 Census Supervisory Area 11828 0 1 162 43.341 33.291 1st & 2nd digit of Standard Enumeration Area (SEA) 11828 0 1 34 3.637 5.663 Household Number 11828 0 1 794 53.325 45.385 Member number 11828 0 2 68 52.348 2.009 Relationship to head of hh 11828 0 1 head 0 2 spouse 0 3 own child 8399 4 step child 166 5 parent 0 6 brother/sister 36 7 nephew/niece 408 8 son/daughter-in-law 21 9 brother/sister-in-law 28 10 parent-in-law 0 11 grandchild 2616 12 other relative 145 13 unrelated 9 Year born 11827 1 -8 not collected 0 1979 1 1980 1 1983 1 1984 2 1986 2 1987 1 1988 3 1989 8 1990 16 1991 21 1992 40 1993 1107 1994 1082 1995 1012 1996 1057 1997 1061 1998 960 1999 1030 2000 1229 2001 822 2002 825 2003 1057 2004 489 Sysmiss 1 Gender 11828 0 1 Male 5895 2 Female 5933 Attending school? 11828 0 1 Yes 4023 2 No 7805 Highest level of education completed 11828 0 0 None 8567 1 Sub-standard A or B; Grade 1 1241 2 Standard 1: Grade 2 932 3 Standard 2; Grade 3 645 4 Standard 3; Grade 4 294 5 Standard 4; Grade 5 98 6 Standard 5; Grade 6 36 7 Standard 6; Grade 7 13 8 Form 1; Grade 8 2 9 Form 2; Grade 9 0 10 Form 3; Grade 10 0 Is the biological mother alive? 11826 2 -8 not collected 0 1 Yes 11178 2 No 646 3 Don't know 2 Sysmiss 2 Is the biological mother a member of the hh? 11178 650 1 Yes 9812 2 No 1366 Sysmiss 650 Mother's mem number 9798 2030 -8 not collected 0 1 647 2 4393 3 1601 4 903 5 514 6 215 7 115 8 68 9 38 10 13 11 10 12 13 13 4 14 2 15 6 16 2 19 1 21 1 31 824 32 256 33 78 34 30 35 38 36 12 37 7 38 4 39 1 41 1 42 1 Sysmiss 2030 Is the biological father alive? 11826 2 -8 not collected 0 1 Yes 10574 2 No 1240 3 Don't know 12 Sysmiss 2 Is the biological father a member of the hh? 10574 1254 1 Yes 8293 2 No 2281 Sysmiss 1254 Father's member number 8287 3541 -8 not collected 0 1 7465 2 384 3 61 4 28 5 19 6 3 8 3 10 1 14 3 31 206 32 72 33 29 34 9 35 4 Sysmiss 3541 Has this person been chronically ill for past 3 months? 11827 1 -8 not collected 0 1 Yes 435 2 No 11392 Sysmiss 1 Age of member 11827 1 0 25 5.944 3.392 Province 13442 0 1 Central 1543 2 Copperbelt 713 3 Eastern 3020 4 Luapula 973 5 Lusaka 334 6 Northern 3487 7 Nwestern 637 8 Southern 1615 9 Western 1120 District 13442 0 101 Chibombo 370 102 Kabwe Urban 65 103 Kapiri Mposhi 288 104 Mkushi 195 105 Mumbwa 309 106 Serenje 316 201 Chililabombwe 75 202 Chingola 59 203 Kalulushi 56 204 Kitwe 51 205 Luanshya 49 206 Lufwanyama 129 207 Masaiti 90 208 Mpongwe 145 209 Mufulira 59 210 Ndola Urban 0 301 Chadiza 233 302 Chama 192 303 Chipata 755 304 Katete 436 305 Lundazi 579 306 Mambwe 154 307 Nyimba 120 308 Petauke 551 401 Chienge 68 402 Kawambwa 208 403 Mansa 222 404 Milenge 79 405 Mwense 218 406 Nchelenge 74 407 Samfya 104 501 Chongwe 175 502 Kafue 111 503 Luangwa 48 504 Lusaka Urban 0 601 Chilubi 70 602 Chinsali 352 603 Isoka 435 604 Kaputa 117 605 Kasama 329 606 Luwingu 202 607 Mbala 482 608 Mpika 471 609 Mporokoso 315 610 Mpulungu 211 611 Mungwi 249 612 Nakonde 254 701 Chavuma 29 702 Kabompo 63 703 Kasempa 102 704 Mufumbwe 49 705 Mwinilunga 167 706 Solwezi 185 707 Zambezi 42 801 Choma 286 802 Gwembe 63 803 Itezhi-tezhi 82 804 Kalomo 306 805 Kazungula 109 806 Livingstone 37 807 Mazabuka 183 808 Monze 289 809 Namwala 119 810 Siavonga 43 811 Sinazongwe 98 901 Kalabo 182 902 Kaoma 183 903 Lukulu 88 904 Mongu 187 905 Senanga 206 906 Sesheke 157 907 Shangombo 117 Census Supervisory Area 13442 0 1 162 43.622 32.996 1st & 2nd digit of Standard Enumeration Area (SEA) 13442 0 1 34 3.696 5.68 Household Number 13442 0 1 794 52.468 43.102 Field number 13442 0 1 5218 2 3809 3 2319 4 1129 5 510 6 245 7 102 8 56 9 26 10 19 11 6 12 2 13 1 Crop code 13442 0 1 Maize 5226 2 Sorghum 555 3 Rice 251 4 Millet 1070 5 Sunflower 325 6 Groundnuts 2633 7 Soyabeans 192 8 Seed cotton 638 9 Irish potato 38 10 Virginia tobacco 4 11 Burley tobacco 87 12 Mixed beans 1021 13 Ground beans 120 14 Cowpeas 168 15 Velvet beans 21 16 Coffee 6 17 Sweet potato 1054 18 Cassava 0 19 Kenaf 0 20 Cashew nut 0 21 Other crops (specify) 0 22 Paprika 16 25 Improved fallow 0 60 Popcorn 7 61 Sugarcane 7 62 Sugar beans 1 63 Green gum 1 64 Guine peas 1 65 Not specified 0 Number of units of measure 13442 0 -8 not collected 8 0.04 2 0.05 4 0.06 11 0.08 2 0.09 1 0.1 3 0.12 35 0.13 1 0.15 2 0.16 11 0.17 2 0.18 2 0.19 2 0.2 29 0.23 1 0.24 3 0.25 908 0.3 12 0.31 1 0.32 1 0.33 11 0.35 1 0.36 4 0.37 3 0.4 29 0.41 2 0.44 1 0.49 1 0.5 2404 0.58 1 0.6 14 0.63 1 0.64 3 0.65 3 0.66 1 0.67 3 0.7 2 0.71 1 0.72 1 0.75 202 0.8 7 0.81 6 0.9 2 0.94 1 0.96 1 1 5487 1.08 1 1.2 10 1.22 1 1.25 28 1.33 1 1.4 3 1.44 1 1.5 648 1.6 7 1.62 1 1.7 2 1.75 5 1.84 1 1.96 1 2 2065 2.2 1 2.25 6 2.4 1 2.5 146 2.6 1 2.62 1 2.7 1 2.75 2 3 661 3.2 1 3.5 17 3.75 1 4 298 4.05 1 4.5 3 4.8 1 5 111 5.5 2 6 55 7 23 7.5 2 7.75 1 8 25 8.4 1 8.42 1 9 7 10 28 11 5 12 5 13 2 14 1 15 12 16 1 18 1 20 4 21 1 22 1 25 3 Unit of measure for area 13442 0 -8 not collected 8 1 lima 7467 2 acre 4358 3 hectare 1609 Conversion value to hectares 13434 8 0.25 1 0.39 0.236 Hectares cropped 13434 8 0.01 15 0.563 0.779 Main seed variety 13435 7 -8 not collected 10 1 Pool 16 21 2 MMV 400 36 3 GV 412 9 4 MM 441 45 5 GV 470 8 6 GV 408 6 7 MM 501 41 8 MM 502 9 9 MM 601 49 10 MM 603 187 11 MM 604 393 12 GV 512 11 13 GV 607 8 14 GV 702 5 15 GV 703 5 16 GV 722 4 17 MM 752 32 18 GV 704 13 19 GV 61 Yellow 4 20 PAN 6363 - Chipolopolo 168 21 PAN 6549 - Mr. Reliable 17 22 PAN 67 - African Queen 40 23 PAN 6243 - in a class of its own 7 24 PAN 64 48 25 PAN 6479 9 26 PAN 87 14 27 PAN 6573 2 28 PAN 6777 3 29 PAN 61 17 30 PAN 6823 2 31 PAN 14 - Yellow maize 2 32 SC 709 24 33 SC 713 7 34 SC 715 2 35 SC 711 2 36 SC 701 5 37 SC 707 2 38 SC 627 17 39 SC 625 3 40 SC 601 14 41 SC 621 23 42 SC 501 17 43 SC 515 2 44 SC 513 71 45 SC 517 2 46 SC 521 2 47 SC 401 32 48 SC 403 12 49 SC 405 2 50 SC 407 5 51 SC 704 - Yellow 3 52 SC 706 - Yellow 0 53 SC 602 - Yellow 1 54 SC 604 - Yellow 14 55 SC 506 - Yellow 1 56 SC 206 - Yellow 0 57 MRI 724 17 58 MRI 744 13 59 MRI 734 22 60 MRI 651 12 61 MRI 634 22 62 MRI 624 17 63 MRI 611 6 64 MRI 614 52 65 MRI 594 6 66 MRI 514 9 67 MRI 455 20 68 Local maize 2952 69 Hybrid maize 380 70 Recycled hybrid maize 201 71 OPV maize 7 75 Kuyuma 48 76 Sima 7 77 ZSV 15 3 78 WP 13 3 79 MACIA (OPV - white) 2 80 NS5511 (Hybrid - brown) 2 81 Local sorghum 459 82 Hybrid sorghum 18 83 Recycled hybrid sorghum 4 84 OPV sorghum 1 85 MILIKA 84 86 RECORD 36 87 PAN 7369 0 88 PAN 7353 4 89 PAN 7351 0 90 Local sunflower 140 91 Hybrid sunflower 29 92 Recycled hybrid sunflower 22 93 OPV sunflower 4 94 CHIPEGO 32 95 MGV-4 25 96 CHALIMBANA 498 97 FLAMINGO 3 98 NYANDA 15 99 Local groundnuts 1930 100 Hybrid groundnuts 62 101 Recycled hybrid groundnuts 51 102 OPV groundnuts 4 103 KELEYA 13 104 MAGOYE 24 105 STORM 2 106 SOLITAIRE 2 107 SOPRANO 4 108 SAFARI 2 109 Local soyabeans 102 110 Hybrid soyabeans 25 111 Recycled hybrid soyabeans 17 112 OPV soyabeans 0 113 LUTEMBWE 12 114 BUBEBE 8 115 Local cowpeas 122 116 Hybrid cowpeas 17 117 Recycled hybrid cowpeas 5 118 OPV cowpeas 1 119 Bunckett 57 120 BO 1 10 121 BO 2 2 122 BO 3 0 123 A 1 9 124 A 2 3 125 A 3 0 126 HG 1 127 T26 2 128 RK326 1 129 T29 0 130 F135 166 131 Chureza 236 132 Ngwezi 30 133 CDT 1 86 134 Local 3436 135 Improved 197 136 ZAMSEED 7 137 PANNAR 13 138 SEED-CO 4 139 MRI 0 140 Do not know 109 Sysmiss 7 Source of most of the seed 13442 0 -8 not collected 9 1 Private retailer 2106 2 Seed company 501 3 NGOs 374 4 Government food security pack 261 5 Government fertilizer support program 223 6 Friends and relatives 1310 7 Own harvest 7993 8 Outgrower 597 9 Other (specify) 68 Main transaction used to get seed 13442 0 -8 not collected 9 1 Cash purchase 3072 2 Loan 1116 3 Barter 104 4 Grant / gift / free 1122 5 Own harvest 8019 Quantity of seed planted 12245 1197 -8 not collected 14 0.2 3 0.25 39 0.3 1 0.5 420 0.6 5 0.75 18 0.9 2 0.94 1 1 5127 1.1 4 1.2 2 1.25 8 1.5 405 1.7 1 1.75 1 1.9 2 2 2625 2.25 1 2.5 117 2.56 1 3 981 3.5 19 3.75 3 4 501 4.1 1 4.5 5 4.9 2 5 596 5.5 1 5.6 1 6 149 7 40 7.5 10 8 66 8.5 1 9 26 10 308 11 8 12 40 12.5 3 13 2 14 6 15 252 16 3 17 1 18 20 20 166 21 1 22 3 24 4 24.6 1 25 25 27 1 30 86 32.8 1 34 1 35 4 36 4 40 30 43 1 45 16 50 9 55 2 60 20 70 4 75 4 80 4 90 2 100 5 105 1 120 3 134 1 140 1 150 1 180 1 200 1 Sysmiss 1197 Unit of seed quantity 12245 1197 -8 not collected 14 0 none 0 1 90kg bag 37 2 50kg bag 162 3 25kg bag 276 4 10kg bag 2299 5 20lt tin 2458 6 90kg bag unshelled 0 7 50kg bag unshelled 0 8 25kg bag unshelled 0 9 10kg bag unshelled 1 10 20lt tin unshelled 1 11 5lt gallon 2381 12 MEDA 2101 13 bunches 0 14 MUCHUMBU 25 15 ka BP 701 16 crates 0 17 tonnes 0 18 boxes 0 19 number 0 20 kg 1788 21 litre 0 23 1 Sysmiss 1197 Month finished planting crop 13442 0 -8 not collected 12 1 January 2022 2 February 667 3 March 184 4 April 5 5 May 1 6 June 1 7 July 2 8 August 28 9 September 78 10 October 525 11 November 3523 12 December 6394 Week finished planting crop 13442 0 -8 not collected 12 1 1st week 4530 2 2nd week 3933 3 3rd week 2411 4 4th week 2556 Quantity harvested 13442 0 -8 not collected 10 0 177 0.5 5 0.75 2 1 1354 1.5 56 2 1511 2.16 1 2.2 1 2.4 1 2.5 42 2.77 1 3 1377 3.2 1 3.3 2 3.5 12 4 1055 4.5 5 4.6 2 5 890 5.5 2 6 738 7 460 7.5 2 8 509 8.75 1 9 195 9.5 1 10 772 10.5 1 11 92 12 393 12.5 3 13 79 14 120 15 485 16 123 17 44 17.5 4 18 144 19 24 20 373 20.5 1 21 49 22 44 22.5 2 23 10 24 75 25 170 26 19 27 31 28 46 29 6 30 227 31 4 32 44 33 11 34 5 35 80 36 36 37 9 38 9 39 8 40 108 41 1 42 15 43 2 44 6 45 43 46 10 47 2 48 25 49 2 50 112 51 3 52 6 53 3 54 13 55 13 56 4 58 1 58.5 1 58.7 1 59 4 60 57 62 2 63 4 65 14 66 5 67 1 68 5 70 26 72 11 73 1 74 3 75 9 76 2 77 1 78 5 79 5 80 33 82 2 84 1 85 5 86 1 87 1 89 1 90 15 91 1 92 2 94 2 95 2 96 3 97 1 98 4 99 1 100 34 102 1 103 1 105 9 108 2 109 1 113 1 115 2 118 1 119 1 120 13 125 3 126 1 128 1 130 4 132 1 133 1 135 3 137 1 138 1 140 3 144 2 148 1 150 26 151 1 155 1 160 5 165 2 166 1 167 1 168 1 170 4 172 1 173 1 175 6 178 1 179 1 180 15 182 1 183 1 185 1 186 1 190 2 192 1 194 2 200 21 204 1 207 1 210 3 212 1 214 1 215 2 220 1 222 1 225 1 230 1 234 1 235 2 236 1 240 6 246 1 247 1 249 1 250 7 254 1 255 3 256 1 260 1 262 1 266 1 270 6 272 2 273 1 275 1 280 4 281 1 283 1 285 3 288 1 300 14 305 1 307 1 311 1 313 1 315 1 319 3 320 8 324 1 325 1 328 2 330 4 340 2 345 2 347 1 350 7 352 1 356 1 360 3 365 1 368 1 370 2 375 1 378 1 380 4 384 1 385 1 394 1 397 1 400 22 405 2 410 1 420 7 425 2 432 1 435 1 450 21 452 1 456 1 459 1 460 3 462 2 469 1 470 2 475 3 480 5 485 1 486 1 490 3 491 1 495 2 500 20 501 1 510 6 515 1 520 2 521 1 524 1 525 5 530 1 534 3 540 11 550 4 560 5 564 3 570 4 581 1 585 1 588 1 597 1 598 1 600 26 608 1 609 1 611 2 612 1 615 1 620 2 622 1 630 7 640 4 650 5 654 1 655 1 660 3 662 1 665 1 669 1 672 2 679 1 680 5 696 1 697 1 700 9 705 1 707 1 714 1 720 12 727 1 730 2 737 1 740 1 745 1 747 1 750 4 752 1 765 2 769 1 780 2 800 11 807 1 810 3 825 1 828 1 829 1 830 2 850 7 860 4 872 1 875 2 880 3 886 1 890 1 891 1 895 1 900 16 918 1 930 1 935 2 960 1 980 1 990 4 1000 18 1012 1 1020 3 1032 1 1040 1 1050 5 1060 1 1080 3 1092 1 1100 7 1120 1 1125 1 1150 1 1155 1 1170 5 1189 1 1190 1 1200 13 1250 3 1253 1 1260 3 1275 2 1280 3 1300 1 1340 1 1350 6 1360 2 1377 1 1382 1 1395 1 1400 4 1420 1 1440 1 1445 1 1450 2 1475 1 1500 18 1515 1 1530 3 1575 1 1584 1 1600 9 1620 1 1650 1 1680 1 1700 4 1730 1 1750 1 1800 6 1803 1 1820 1 1840 1 1872 1 1890 1 1900 2 1950 1 2000 8 2100 2 2184 1 2200 2 2243 1 2250 3 2280 1 2300 1 2340 1 2375 1 2400 3 2500 2 2509 1 2535 1 2550 1 2635 1 2700 1 2720 1 2862 1 2880 1 2925 1 2975 1 3000 3 3120 1 3200 1 3250 1 3272 1 3325 1 3480 1 3500 2 3600 2 3690 1 3750 1 3920 1 4000 1 4120 1 4140 1 4188 1 4250 1 4361 1 4400 1 4450 1 4600 1 4800 2 5000 1 5075 1 5450 1 5600 2 6000 2 6060 1 6400 1 7200 1 7480 1 8415 1 8666 1 8680 1 9400 1 10200 1 12400 1 Unit of quantity harvested 13442 0 -8 not collected 10 0 none 177 1 90kg bag 3379 2 50kg bag 5329 3 25kg bag 732 4 10kg bag 43 5 20lt tin 754 6 90kg bag unshelled 909 7 50kg bag unshelled 1070 8 25kg bag unshelled 85 9 10kg bag unshelled 4 10 20lt tin unshelled 23 11 5lt gallon 66 12 MEDA 119 13 bunches 1 14 MUCHUMBU 0 15 ka BP 1 16 crates 0 17 tonnes 5 18 boxes 0 19 number 2 20 kg 733 21 litre 0 Final conversion value 13255 187 0.5 1000 52.982 36.756 Total kgs harvested 13432 10 0 727000 868.67 8921.573 Provincial or National median crop price (Kw/kg) 13440 2 144.928 4500 828.625 538.169 Comments 259 0 CHECKED OK 7 CHEKCKED OK 6 adjusted seed quantity 1 adjusted the seed quantity 8 checked 213 checked - local seed 1 crop failure 1 eaten by cattle 2 greem gum not known 1 no harvest (checked) 1 no information 8 not dup 4 ok 1 poor yield due to drought. 1 poor yield due to lack of fert. and rainfall 3 poor yield due to rains swept nearly all the crop. 1 Other crop specify 18 0 GREEM GUM 1 Guine peas 1 NOT COLLECTED 1 POPCORN 7 SUGAR BEANS 1 SUGAR CANE 5 SUGARCANE 2 Other soruce of seed 101 0 -8 11 . 4 ASSOCIATION 1 BARTERED FOR CHICKEN 1 BOUGHT 3 BOUGHT FROM FRIENDS 1 BOUGHT FROM MARKET 1 CHIKUNI MISSION 1 CHURCH 6 CLUSA 1 CO-OPERATIVE 1 COMPERATIVES 1 CONTINENTAL 1 COOPERATIVE 1 DARE FIRE 1 DUNAVANT 6 EMPLOYER 2 FARMER 3 FROM MOZAMBIQUE 7 FROM OTHER HH 1 FROM PEOPLE IN VGE 1 FROM THOSON HATCH 1 GAMPHANY 1 GIFT 1 GOT FROM BUSINESSMEN 1 GTZ 4 KEEPERS 3 LIMA BANK 1 MARKET 3 NEIGBOUR 1 NEIGBOURS 1 NEIGHBOUR 1 OMNIA 1 OTHER H/H 2 OTHER HH 2 OTHER HHOUSEHOLD 1 OTHER HOUSEHOLDS 1 PAM 3 PRICE GIVING DAY 1 RELATIVES 1 SEED GROWER 2 SHAPES (AGRICULTURE) 3 SOCIAL WELFARE 1 TRADER 2 VEST 3 ZEST 3 other households 2 Total kgs harvested 13429 13 0 727000 868.874 8922.562 Provincial or National median crop price (Kw/kg) 13436 6 144.928 4500 828.544 538.182 Province 14119 0 1 Central 2436 2 Copperbelt 1295 3 Eastern 3010 4 Luapula 889 5 Lusaka 658 6 Northern 2415 7 Nwestern 602 8 Southern 2324 9 Western 490 District 14119 0 101 Chibombo 749 102 Kabwe Urban 154 103 Kapiri Mposhi 420 104 Mkushi 392 105 Mumbwa 434 106 Serenje 287 201 Chililabombwe 147 202 Chingola 168 203 Kalulushi 91 204 Kitwe 154 205 Luanshya 63 206 Lufwanyama 161 207 Masaiti 147 208 Mpongwe 231 209 Mufulira 133 210 Ndola Urban 0 301 Chadiza 315 302 Chama 56 303 Chipata 1169 304 Katete 399 305 Lundazi 623 306 Mambwe 56 307 Nyimba 63 308 Petauke 329 401 Chienge 56 402 Kawambwa 231 403 Mansa 189 404 Milenge 98 405 Mwense 133 406 Nchelenge 56 407 Samfya 126 501 Chongwe 364 502 Kafue 252 503 Luangwa 42 504 Lusaka Urban 0 601 Chilubi 84 602 Chinsali 245 603 Isoka 266 604 Kaputa 70 605 Kasama 273 606 Luwingu 154 607 Mbala 210 608 Mpika 322 609 Mporokoso 182 610 Mpulungu 126 611 Mungwi 259 612 Nakonde 224 701 Chavuma 35 702 Kabompo 77 703 Kasempa 126 704 Mufumbwe 49 705 Mwinilunga 84 706 Solwezi 133 707 Zambezi 98 801 Choma 483 802 Gwembe 98 803 Itezhi-tezhi 91 804 Kalomo 497 805 Kazungula 126 806 Livingstone 84 807 Mazabuka 427 808 Monze 287 809 Namwala 91 810 Siavonga 70 811 Sinazongwe 70 901 Kalabo 112 902 Kaoma 161 903 Lukulu 84 904 Mongu 42 905 Senanga 84 906 Sesheke 7 907 Shangombo 0 Census Supervisory Area 14119 0 1 154 45.647 34.61 1st & 2nd digit of Standard Enumeration Area (SEA) 14119 0 1 34 3.343 5.02 Household Number 14119 0 1 306 52.176 41.475 Fertilizer transaction channel 14119 0 1 Govt FSP cash program through coops and farmer associations 2017 2 Govt FSP loan program through coops and farmer associations 2017 3 Direct commercial exchange/barter 2017 4 Commercial cash purchases 2017 5 Govt food security pack (PAM) 2017 6 Other sources of free fertilizer 2017 7 Commercial fertilizer loan 2017 Did the hh acquire fertilizer from this source 02/03? 14119 0 1 Yes 1706 2 No 12413 How far is the point of collection from the homestead 02/03? 1706 12413 0 240 13.885 25.036 Quantity of basal fertilizer acquired is 02/03 1705 12414 0 3300 146.908 235.719 Quantity of top dressing acquired in 02/03 1706 12413 0 8000 148.144 290.387 Was basal fertilizer available from this channel when needed 02/03? 1706 12413 1 Yes 1221 2 No 389 3 NA 96 Sysmiss 12413 Was top dressing available from this channel when needed 02/03? 1706 12413 1 Yes 1182 2 No 460 3 NA 64 Sysmiss 12413 Did the hh acquire fertilizer from this source 03/04? 14119 0 1 Yes 1600 2 No 12519 How far is the point of collection from the homestead 03/04? 1600 12519 0 240 13.07 24.516 Quantity of basal fertilizer acquired is 03/04 1600 12519 0 3500 148.052 257.375 Quantity of top dressing acquired in 03/04 1600 12519 0 3500 146.878 250.863 Was basal fertilizer available from this channel when needed 03/04? 1600 12519 -8 not collected 1 1 Yes 1132 2 No 373 3 NA 94 Sysmiss 12519 Was top dressing available from this channel when needed 03/04? 1601 12518 -8 not collected 1 1 Yes 1032 2 No 486 3 NA 82 Sysmiss 12518 Comments 19 0 CHECKED 2 CHECKED OK 4 data ok 13 Province 17022 0 1 Central 1867 2 Copperbelt 926 3 Eastern 3509 4 Luapula 1824 5 Lusaka 459 6 Northern 4125 7 Nwestern 799 8 Southern 2160 9 Western 1353 District 17022 0 101 Chibombo 467 102 Kabwe Urban 83 103 Kapiri Mposhi 331 104 Mkushi 240 105 Mumbwa 376 106 Serenje 370 201 Chililabombwe 93 202 Chingola 88 203 Kalulushi 72 204 Kitwe 64 205 Luanshya 71 206 Lufwanyama 154 207 Masaiti 120 208 Mpongwe 181 209 Mufulira 83 210 Ndola Urban 0 301 Chadiza 279 302 Chama 216 303 Chipata 875 304 Katete 507 305 Lundazi 675 306 Mambwe 178 307 Nyimba 133 308 Petauke 646 401 Chienge 96 402 Kawambwa 413 403 Mansa 426 404 Milenge 118 405 Mwense 388 406 Nchelenge 166 407 Samfya 217 501 Chongwe 244 502 Kafue 152 503 Luangwa 63 504 Lusaka Urban 0 601 Chilubi 87 602 Chinsali 427 603 Isoka 476 604 Kaputa 158 605 Kasama 403 606 Luwingu 266 607 Mbala 551 608 Mpika 550 609 Mporokoso 356 610 Mpulungu 275 611 Mungwi 283 612 Nakonde 293 701 Chavuma 40 702 Kabompo 77 703 Kasempa 121 704 Mufumbwe 56 705 Mwinilunga 219 706 Solwezi 225 707 Zambezi 61 801 Choma 416 802 Gwembe 77 803 Itezhi-tezhi 115 804 Kalomo 391 805 Kazungula 135 806 Livingstone 45 807 Mazabuka 247 808 Monze 373 809 Namwala 158 810 Siavonga 58 811 Sinazongwe 145 901 Kalabo 210 902 Kaoma 267 903 Lukulu 112 904 Mongu 230 905 Senanga 237 906 Sesheke 162 907 Shangombo 135 Census Supervisory Area 17022 0 1 162 43.104 32.762 1st & 2nd digit of Standard Enumeration Area (SEA) 17022 0 1 34 3.615 5.533 Household Number 17022 0 1 794 52.634 43.302 Field number 17018 4 1 5042 2 4204 3 3117 4 2009 5 1205 6 658 7 351 8 203 9 114 10 61 11 31 12 14 13 7 14 2 Sysmiss 4 Main Crop or Use in 02/03 17022 0 1 Maize 5043 2 Sorghum 503 3 Rice 242 4 Millet 973 5 Sunflower 315 6 Groundnuts 2429 7 Soyabeans 187 8 Seed cotton 629 9 Irish potato 38 10 Virginia tobacco 4 11 Burley tobacco 87 12 Mixed beans 890 13 Ground beans 110 14 Cowpeas 141 15 Velvet beans 17 16 Coffee 6 17 Sweet potato 972 18 Cassava 348 19 Kenaf 0 20 Cashew nut 0 21 Other crops (specify) 0 22 Paprika 16 23 Garden 739 24 Natural fallow 3206 25 Improved fallow 23 26 Rented/lent out 1 27 Orchard 80 28 Virgin 8 29 Watermelon 0 50 New field 0 60 Popcorn 6 61 Sugarcane 7 62 Sugar beans 1 63 Green gum 1 64 Guine peas 0 Hectare not including imputed fallow fields 15420 1602 -8 not collected 0 0.01 1 0.0125 2 0.015 3 0.02 1 0.025 3 0.03 13 0.0375 2 0.04 2 0.045 1 0.0475 2 0.0486 3 0.05 9 0.06 10 0.0625 651 0.0648 1 0.075 3 0.0775 1 0.08 1 0.081 4 0.0825 7 0.0875 1 0.09 6 0.09315 1 0.0972 2 0.1 7 0.10125 103 0.1025 1 0.11 1 0.12 11 0.1215 1 0.1225 3 0.125 1754 0.13 1 0.13365 2 0.145 1 0.15 5 0.155 1 0.1575 1 0.16 5 0.1675 2 0.17 1 0.1775 1 0.18 2 0.1875 167 0.2 16 0.2025 553 0.225 1 0.24 3 0.25 3591 0.27 1 0.28875 2 0.29 1 0.295 1 0.3 9 0.30375 8 0.3125 35 0.32805 1 0.33 1 0.35 2 0.36 1 0.3645 1 0.37 1 0.375 384 0.4 28 0.405 1870 0.41 1 0.425 1 0.4375 7 0.4525 1 0.46 1 0.486 3 0.49 2 0.4941 1 0.4975 1 0.5 1353 0.50625 1 0.5625 2 0.567 1 0.56875 1 0.6 12 0.6075 277 0.625 94 0.65 4 0.655 2 0.67 1 0.6875 1 0.70875 1 0.7175 1 0.75 364 0.8 14 0.81 1040 0.8125 2 0.8575 1 0.875 11 0.9 1 0.905 2 0.95875 1 1 1038 1.0125 1 1.0125 71 1.06 1 1.0625 1 1.1075 1 1.11375 1 1.125 4 1.1375 1 1.1875 1 1.2 7 1.215 385 1.25 36 1.31 1 1.3125 2 1.31625 1 1.405 2 1.4175 5 1.465 2 1.5 112 1.5125 1 1.6 5 1.62 207 1.625 1 1.7 1 1.75 4 1.8225 3 1.875 2 2 375 2.005 1 2.025 81 2.1 1 2.2 1 2.2275 1 2.25 3 2.4 1 2.43 36 2.4375 1 2.5 29 2.62 2 2.7 1 2.75 3 2.81 1 2.835 21 3 154 3.24 16 3.5 6 3.645 6 3.75 3 3.81 2 4 77 4.05 24 4.455 3 4.5 2 4.86 4 5 51 5.0625 1 5.265 2 6 19 6.075 9 6.25 1 6.48 1 6.5 2 7 12 7.0875 1 7.5 1 8 8 8.1 5 8.42 1 8.505 1 8.91 1 9 1 9.5 1 10 10 10.125 2 11.25 1 12 3 12.15 2 14 1 15 4 15.5 1 20 4 22 1 25 1 30 4 33 1 Sysmiss 1602 Hectare including imputed fallow fields 15699 1323 -8 not collected 0 0.00499999999999989 1 0.01 1 0.01 2 0.0125 2 0.015 3 0.02 1 0.025 3 0.03 13 0.0375 2 0.04 2 0.045 1 0.0475 2 0.0486 3 0.05 9 0.0575 1 0.06 11 0.06 3 0.0625 653 0.0648 1 0.0749999999999997 1 0.075 3 0.0775 1 0.08 1 0.081 4 0.0825 7 0.0875 1 0.09 6 0.09315 1 0.0972 2 0.1 7 0.10125 103 0.1025 1 0.1075 1 0.11 2 0.1125 1 0.12 1 0.12 12 0.12 1 0.1215 1 0.1225 3 0.125 1755 0.13 1 0.13365 2 0.145 1 0.15 1 0.15 5 0.15 1 0.155 1 0.1575 1 0.16 5 0.1675 2 0.17 1 0.1775 2 0.18 2 0.1875 167 0.19 1 0.195 1 0.1975 1 0.2 16 0.2025 553 0.215 1 0.225 1 0.235 1 0.2375 1 0.24 4 0.245 1 0.25 3594 0.253749999999999 1 0.265 1 0.27 1 0.27 1 0.275 1 0.28875 2 0.29 1 0.29 1 0.295 1 0.3 9 0.30125 1 0.3025 1 0.30375 8 0.3125 36 0.32 1 0.32805 1 0.33 1 0.35 2 0.36 1 0.3645 1 0.365 1 0.3675 1 0.37 3 0.3725 3 0.375 387 0.3875 1 0.39 1 0.3975 1 0.4 28 0.405 1870 0.41 1 0.42 1 0.425 1 0.43 1 0.4325 2 0.4375 7 0.4525 1 0.46 1 0.4775 1 0.486 3 0.49 2 0.4941 1 0.4975 2 0.5 1356 0.50625 1 0.51 1 0.555 1 0.555 1 0.56 1 0.5625 3 0.567 1 0.56875 1 0.5725 1 0.5825 1 0.595 2 0.6 12 0.6 1 0.605 1 0.605 1 0.6075 277 0.6125 1 0.6125 1 0.615 2 0.625 96 0.65 4 0.655 2 0.66 1 0.67 2 0.6875 1 0.69 1 0.695 1 0.7025 1 0.70875 1 0.7175 1 0.745 1 0.75 366 0.7725 1 0.775 1 0.79 1 0.8 14 0.8025 1 0.8075 1 0.81 1042 0.8125 3 0.815 1 0.815 2 0.85 1 0.8575 1 0.87 2 0.875 12 0.9 1 0.905 2 0.91 1 0.93 1 0.93 1 0.9325 1 0.935 1 0.949999999999999 1 0.95875 1 0.9925 1 0.995 1 1 1038 1.0125 1 1.0125 71 1.05 1 1.05 1 1.055 1 1.0575 1 1.06 3 1.06 1 1.0625 1 1.0825 1 1.085 1 1.1 2 1.1075 1 1.11375 1 1.12 1 1.125 5 1.13 1 1.1375 1 1.175 1 1.1875 3 1.19 2 1.2 7 1.21 1 1.215 385 1.22 1 1.225 1 1.245 1 1.25 39 1.2625 1 1.3025 1 1.31 1 1.3125 3 1.31625 1 1.32 1 1.3675 1 1.37 1 1.405 2 1.4125 1 1.4175 5 1.4275 1 1.43 1 1.465 2 1.495 1 1.5 114 1.5125 1 1.52 1 1.53 1 1.55 1 1.56 1 1.5675 1 1.57 1 1.6 1 1.6 5 1.615 1 1.62 207 1.62 1 1.6225 1 1.625 1 1.63 1 1.6425 1 1.6675 1 1.67 1 1.6775 1 1.68 1 1.7 1 1.735 1 1.745 1 1.7475 1 1.75 5 1.76 1 1.77 1 1.8025 1 1.805 1 1.815 2 1.8225 3 1.855 1 1.865 1 1.87 3 1.875 4 1.9275 1 1.995 1 2 376 2.005 1 2.025 81 2.035 1 2.0525 1 2.1 1 2.125 1 2.2 1 2.2275 1 2.23 1 2.235 1 2.245 1 2.25 5 2.27 1 2.3 1 2.355 1 2.37 1 2.4 1 2.4225 1 2.43 36 2.435 1 2.4375 1 2.5 31 2.54 1 2.61 1 2.62 2 2.64 2 2.66 1 2.6625 1 2.7 1 2.75 4 2.7675 1 2.775 1 2.8 1 2.81 1 2.835 21 2.84 1 2.875 1 2.8875 1 2.90625 1 2.99 2 3 153 3.12 1 3.24 17 3.25 2 3.34 1 3.34125 1 3.5 6 3.625 2 3.645 6 3.75 3 3.81 2 3.81 1 4 77 4.01 1 4.05 24 4.31 1 4.36 1 4.37 1 4.375 2 4.38 1 4.4 1 4.455 3 4.4775 1 4.5 2 4.565 1 4.595 1 4.62 1 4.655 1 4.655 1 4.75 1 4.79 1 4.83 1 4.86 4 4.98 1 4.995 1 5 52 5.0475 1 5.0625 1 5.0925 1 5.265 2 5.345 1 5.39 1 5.5 1 5.62 1 5.845 1 5.875 1 5.8925 1 5.93 1 5.965 1 6 19 6.075 9 6.25 1 6.405 1 6.48 1 6.4875 1 6.5 2 6.925 1 7 12 7.0875 1 7.115 1 7.4875 1 7.5 2 7.75 1 8 9 8.1 5 8.165 1 8.42 1 8.505 1 8.74 1 8.91 1 9 1 9.38 1 9.5 1 10 10 10.12 1 10.125 2 10.75 1 11.11 1 11.19 1 11.25 1 12 3 12.15 2 12.57 1 13.5 1 14 1 14.8 1 15 4 15.5 1 17.54 1 18.25 1 20 4 22 1 25 2 28.55 1 30 4 33 1 Sysmiss 1323 Cases with hectares imputed 280 16742 1 imputed 280 Sysmiss 16742 Did this field have a crop mixture (intercropped)? 12966 4056 -9 Not applicable 0 -8 not collected 0 1 Yes 1496 2 No 11470 Sysmiss 4056 What was the main tillage method? 13400 3622 -8 not collected 0 1 conventional hand hoeing 6726 2 planting basins 160 3 zero tillage 791 4 ploughing 3362 5 ripping 125 6 ridging 1486 7 bunding 750 Sysmiss 3622 What was the main type and source of power for tillage? 13398 3624 -8 not collected 0 1 own animals 2051 2 hired/borrowed animals 1474 3 own mechanical 70 4 hired/borrowed mechanical 165 5 household labor 8065 6 hired labor 1533 7 both own/hired animals 40 Sysmiss 3624 When was the tillage done? 13398 3624 -8 not collected 0 1 before the rains 4441 2 during the rainy season 8957 Sysmiss 3624 How many weeks after planting did you finish the 1st weeding? 11178 5844 -8 not collected 0 0 na 0 1 1712 2 2984 3 2788 4 2754 5 262 6 271 7 55 8 235 9 27 10 38 11 3 12 18 13 6 14 10 15 1 16 1 17 1 19 1 20 3 21 1 22 2 24 1 26 1 28 3 Sysmiss 5844 How many complete weedings did you do in this field? 11345 5677 -8 not collected 0 0 na 0 1 5337 2 4669 3 985 4 283 5 48 6 22 7 1 Sysmiss 5677 Apply animal manure? 13397 3625 -8 not collected 0 1 Yes 745 2 No 12652 Sysmiss 3625 Apply plant manure? 13397 3625 -8 not collected 0 1 Yes 353 2 No 13044 Sysmiss 3625 How many kgs of lime did you apply? 13397 3625 -8 not collected 0 0 13185 1 9 2 69 4 1 5 2 9 1 10 4 15 1 18 1 20 8 25 25 40 4 50 47 75 1 90 1 100 20 150 3 200 8 212 1 250 1 300 1 350 1 360 1 450 1 500 1 Sysmiss 3625 Type of basal fertilizer applied 13392 3630 -8 not collected 0 0 None 11253 1 Compound D 2033 2 Compound X 63 3 Compound S 4 4 tsp 6 5 ssp 4 6 Compound R 18 7 Do not know 11 8 Other (specify) 0 Sysmiss 3630 Quantity of basal fertilizer (kg) 13391 3631 -8 not collected 0 0 11252 2 12 3 5 4 1 5 36 6 1 7 1 8 1 9 2 10 71 11 2 12 7 15 11 16 3 17 3 18 7 20 41 21 1 23 1 24 1 25 136 28 1 30 8 40 3 45 1 50 717 58 1 60 1 67 1 70 2 72 1 75 18 100 455 125 8 150 124 175 2 200 221 225 1 250 40 300 47 350 13 400 62 450 1 500 15 600 8 650 2 700 1 750 3 800 8 833 1 850 2 900 3 1000 7 1100 1 1150 1 1200 3 1250 2 1400 1 1500 1 1600 2 1800 2 1950 1 2000 1 2500 2 3100 1 Sysmiss 3631 Type of top dressing applied 13391 3631 -8 not collected 0 0 None 11259 1 Urea 1958 2 Ammonium nitrate 137 3 can 26 4 Do not know 10 5 Other (specify) 1 Sysmiss 3631 Quantity of top dressing (kg) 13390 3632 -8 not collected 0 0 11257 1 1 2 16 4 1 5 33 6 1 8 2 9 1 10 53 11 2 12 7 15 12 16 1 17 4 18 5 20 35 23 1 24 1 25 138 28 1 30 6 33 2 35 1 40 2 45 1 50 740 55 1 67 1 70 2 72 1 75 19 100 489 125 7 150 119 175 4 200 209 225 2 250 38 300 37 350 15 400 53 450 5 500 12 600 8 650 1 700 1 750 3 800 7 850 1 900 4 950 1 1000 6 1050 1 1100 1 1200 3 1250 3 1400 2 1600 2 1750 1 1800 1 1950 1 2000 1 2100 1 2500 3 Sysmiss 3632 Main crop or use of field in 01/02 16941 81 -8 not collected 0 0 None 107 1 Maize 5793 2 Sorghum 403 3 Rice 187 4 Millet 735 5 Sunflower 252 6 Groundnuts 1487 7 Soyabeans 139 8 Seed cotton 599 9 Irish potato 20 10 Virginia tobacco 9 11 Burley tobacco 64 12 Mixed beans 525 13 Ground beans 39 14 Cowpeas 55 15 Velvet beans 13 16 Coffee 4 17 Sweet potato 451 18 Cassava 1601 19 Kenaf 1 20 Cashew nut 2 21 Other crops (specify) 4 22 Paprika 7 23 Garden 617 24 Natural fallow 1730 25 Improved fallow 62 26 Rented/lent out 9 27 Orchard 75 28 Virgin 61 29 Other uses (specify) 1 32 Cabbage 1 33 Rape 0 35 Tomato 3 37 Okra 1 39 Pumpkin 1 50 New field 1875 60 Popcorn 1 61 Sugarcane 7 Sysmiss 81 What was done with crop residues in 01/02? 16936 86 -8 not collected 0 1 burned them 3470 2 left them in the field 8345 3 collected for animal feed 157 4 fed to animals in field 600 5 threw them away 484 6 fed to animals and burned remained 131 7 not applicable 3748 50 1 Sysmiss 86 Main crop or use of field in 03/04 16955 67 -8 not collected 0 0 none 327 1 Maize 6077 2 Sorghum 530 3 Rice 191 4 Millet 367 5 Sunflower 214 6 Groundnuts 1595 7 Soyabeans 286 8 Seed cotton 699 9 Irish potato 25 10 Virginia tobacco 6 11 Burley tobacco 83 12 Mixed beans 660 13 Ground beans 38 14 Cowpeas 78 15 Velvet beans 11 16 Coffee 6 17 Sweet potato 474 18 Cassava 1770 19 Kenaf 0 20 Cashew nut 0 21 Other crops (specify) 10 22 Paprika 8 23 Garden 662 24 Natural fallow 2642 25 Improved fallow 74 26 Rented/lent out 17 27 Orchard 75 28 Virgin 12 29 Other uses (specify) 1 32 Cabbage 0 33 Rape 1 35 Tomato 0 37 Okra 0 39 Pumpkin 0 50 New field 6 60 Popcorn 1 61 Sugarcane 6 65 not specified 3 Sysmiss 67 Other crop specify 12 0 B/jack(wild veg) 2 GREEN GUM 1 SUGAR BEANS 1 SUGAR CANE 6 SUGARCANE 1 WATERMELON 1 Other use specify 0 0 Other crop specify 01/02 14 0 -8 1 CABBAGE 1 OKRA 1 PUMPKINS 1 Paddock 1 SUGAR CANE 6 SUGARCANE 1 TOMATO 1 UMUMBU 1 Other use specify 01/02 0 0 Other crop specify 03/04 14 0 -8 2 BULE 1 Not specified 3 RAPE 1 SESAME (BWENGO) 1 SUGAR CANE 5 SUGARCANE 1 Other field specify 03/04 6 0 * 1 0 1 1 3 2 1 Province 1116 0 1 Central 106 2 Copperbelt 72 3 Eastern 269 4 Luapula 101 5 Lusaka 16 6 Northern 147 7 Nwestern 32 8 Southern 139 9 Western 234 District 1116 0 101 Chibombo 20 102 Kabwe Urban 2 103 Kapiri Mposhi 21 104 Mkushi 9 105 Mumbwa 39 106 Serenje 15 201 Chililabombwe 2 202 Chingola 4 203 Kalulushi 6 204 Kitwe 8 205 Luanshya 8 206 Lufwanyama 10 207 Masaiti 8 208 Mpongwe 13 209 Mufulira 13 210 Ndola Urban 0 301 Chadiza 31 302 Chama 22 303 Chipata 51 304 Katete 37 305 Lundazi 61 306 Mambwe 12 307 Nyimba 11 308 Petauke 44 401 Chienge 4 402 Kawambwa 6 403 Mansa 32 404 Milenge 3 405 Mwense 35 406 Nchelenge 6 407 Samfya 15 501 Chongwe 10 502 Kafue 3 503 Luangwa 3 504 Lusaka Urban 0 601 Chilubi 9 602 Chinsali 11 603 Isoka 30 604 Kaputa 12 605 Kasama 21 606 Luwingu 6 607 Mbala 22 608 Mpika 17 609 Mporokoso 4 610 Mpulungu 4 611 Mungwi 5 612 Nakonde 6 701 Chavuma 6 702 Kabompo 3 703 Kasempa 2 704 Mufumbwe 3 705 Mwinilunga 6 706 Solwezi 10 707 Zambezi 2 801 Choma 19 802 Gwembe 6 803 Itezhi-tezhi 6 804 Kalomo 17 805 Kazungula 10 806 Livingstone 11 807 Mazabuka 13 808 Monze 19 809 Namwala 10 810 Siavonga 9 811 Sinazongwe 19 901 Kalabo 31 902 Kaoma 45 903 Lukulu 13 904 Mongu 50 905 Senanga 26 906 Sesheke 25 907 Shangombo 44 Census Supervisory Area 1116 0 1 162 43.147 31.46 1st & 2nd digit of Standard Enumeration Area (SEA) 1116 0 1 34 3.944 6.116 Household Number 1116 0 1 308 51.808 42.312 Product obtained as payment 1116 0 1 maize grain 723 2 packaged roller meal 49 3 packaged breakfast meal 11 4 maize meal from grinding mill 60 5 millet 47 6 sorghum 23 7 rice 40 8 sweet potatoes 24 9 raw cassava 68 10 cassava chips 54 11 cassava flour 17 Did hh obtain product for home consumption for labor/services rendered? 1116 0 1 Yes 1116 2 No 0 Quantity received as payment/service 5/03-12/03 1116 0 0 72 2.686 4.916 Unit of quantity received 5/03-12/03 838 278 0 none 0 1 90kg bag 43 2 50kg bag 230 3 25kg bag 77 4 10kg bag 21 5 20lt tin 306 6 90kg bag unshelled 1 7 50kg bag unshelled 1 8 25kg bag unshelled 1 9 10kg bag unshelled 2 10 20lt tin unshelled 4 11 5lt gallon 58 12 meda 68 13 bunches 0 14 muchumbu 0 15 ka BP 10 16 crates 0 17 tonnes 0 18 boxes 1 19 number 0 20 kg 15 21 litre 0 Sysmiss 278 Conversion value 838 278 0.5 103 30.432 25.497 Total kgs received for 8 months 1116 0 0 1368 67.682 123.374 Quantity received as payment/service 1/04-4/04 1111 5 -8 not collected 0 0 456 0.5 2 0.9 1 1 242 2 156 3 102 4 65 5 23 6 19 7 3 8 9 9 5 10 12 12 2 15 5 18 1 20 1 24 1 30 1 40 2 60 1 72 1 140 1 Sysmiss 5 Unit of quantity received 1/04-4/04 655 461 0 none 0 1 90kg bag 35 2 50kg bag 170 3 25kg bag 48 4 10kg bag 17 5 20lt tin 260 6 90kg bag unshelled 1 7 50kg bag unshelled 1 8 25kg bag unshelled 0 9 10kg bag unshelled 1 10 20lt tin unshelled 1 11 5lt gallon 48 12 meda 54 13 bunches 0 14 muchumbu 1 15 ka BP 7 16 crates 0 17 tonnes 0 18 boxes 1 19 number 0 20 kg 10 21 litre 0 Sysmiss 461 Conversion value 655 461 0.5 100.5 29.842 25.497 Totak kgs received for 4 months 1111 5 0 618 41.658 73.13 Total kgs obtained as payment 1116 0 2 1710 109.154 163.404 Province 6380 0 1 Central 547 2 Copperbelt 211 3 Eastern 818 4 Luapula 827 5 Lusaka 136 6 Northern 1709 7 Nwestern 269 8 Southern 1164 9 Western 699 District 6380 0 101 Chibombo 130 102 Kabwe Urban 39 103 Kapiri Mposhi 102 104 Mkushi 55 105 Mumbwa 129 106 Serenje 92 201 Chililabombwe 14 202 Chingola 20 203 Kalulushi 13 204 Kitwe 20 205 Luanshya 18 206 Lufwanyama 37 207 Masaiti 30 208 Mpongwe 46 209 Mufulira 13 210 Ndola Urban 0 301 Chadiza 65 302 Chama 50 303 Chipata 252 304 Katete 82 305 Lundazi 112 306 Mambwe 75 307 Nyimba 28 308 Petauke 154 401 Chienge 66 402 Kawambwa 202 403 Mansa 178 404 Milenge 37 405 Mwense 129 406 Nchelenge 102 407 Samfya 113 501 Chongwe 55 502 Kafue 40 503 Luangwa 41 504 Lusaka Urban 0 601 Chilubi 73 602 Chinsali 167 603 Isoka 250 604 Kaputa 94 605 Kasama 128 606 Luwingu 124 607 Mbala 111 608 Mpika 245 609 Mporokoso 152 610 Mpulungu 80 611 Mungwi 143 612 Nakonde 142 701 Chavuma 10 702 Kabompo 7 703 Kasempa 37 704 Mufumbwe 20 705 Mwinilunga 90 706 Solwezi 93 707 Zambezi 12 801 Choma 213 802 Gwembe 31 803 Itezhi-tezhi 101 804 Kalomo 183 805 Kazungula 102 806 Livingstone 24 807 Mazabuka 107 808 Monze 179 809 Namwala 92 810 Siavonga 36 811 Sinazongwe 96 901 Kalabo 105 902 Kaoma 167 903 Lukulu 155 904 Mongu 101 905 Senanga 113 906 Sesheke 45 907 Shangombo 13 Census Supervisory Area 6380 0 1 162 40.933 31.728 1st & 2nd digit of Standard Enumeration Area (SEA) 6380 0 1 34 3.255 4.993 Household Number 6380 0 1 794 53.937 48.64 Commodity sent/received 6380 0 0 none 0 1 maize grain 1923 2 mealie meal 228 3 cassava tubers 154 4 cassava flour or chips 478 5 sorghum grain or flour 155 6 sweet potato 182 7 cooking oil 78 8 rice 266 9 beans 402 10 soya 25 11 kapenta 37 12 wheat 91 13 groundnuts 308 14 seed 27 15 fertilizer 71 16 cassava cuttings 7 17 other planting materials 13 18 implements 35 19 sweet potato vines 10 20 clothing/salaula 1234 21 animals 106 22 beddings 70 23 other (specify) 0 24 housewares 51 25 bicycle 19 26 bread 6 27 fish 59 28 millet 132 29 soap 30 30 salt 36 31 sugar 16 32 charcoal 14 33 cowpeas 5 34 fruit 1 35 vegetables 14 36 clocks/radios 6 37 meat 4 38 money 0 39 groceries 11 40 vehicles / parts for vehicles 6 41 sunflowers 2 42 sugar cane 5 43 milk 2 44 fishing nets 3 46 other miscellaneous 21 47 not specified 8 48 bananas 7 49 oranges 4 50 tomatoes 5 51 pawpaw 1 52 guava 1 53 mangos 1 54 pumpkins 8 55 rape 2 Gifts, grants, or food aid 6380 0 1 Sent commodity 3220 2 Received commodity 3160 Recipient of gift/food 3219 3161 1 relatives outside household 2109 2 non-relatives outside household 811 3 organization, e.g. church 287 4 other (specify) 6 5 not specified 6 Sysmiss 3161 Source of commodity received 3159 3221 -8 not collected 0 1 food aid for free 1601 2 food aid for work 297 3 relative 985 4 non-related individual 203 5 other (specify) 24 6 church 16 7 ngo 33 Sysmiss 3221 Quantity sent/received, food item 4608 1772 -8 not collected 0 0 3 0.1 1 0.25 1 0.5 30 0.75 11 0.9 1 1 2379 1.5 14 2 968 2.25 1 2.5 11 3 395 3.5 1 4 250 4.5 1 5 155 6 102 7 25 7.5 2 8 33 8.3 3 9 9 9.75 1 10 69 11 5 12 23 13 1 14 4 15 11 16 5 17 2 18 6 20 20 24 8 25 8 26 1 27 1 30 5 36 3 40 6 45 1 50 6 60 2 75 1 85 1 100 5 144 1 150 3 200 1 250 2 252 1 270 1 300 5 500 1 600 2 Sysmiss 1772 Unit for quantity sent/received, food item 4609 1771 -8 not collected 0 0 none 0 1 90kg bag 203 2 50kg bag 1024 3 25kg bag 411 4 10kg bag 189 5 20lt tin 980 6 90kg bag unshelled 9 7 50kg bag unshelled 44 8 25kg bag unshelled 16 9 10kg bag unshelled 6 10 20lt tin unshelled 30 11 5lt gallon 528 12 meda 640 13 bunches 32 14 muchumbu 11 15 ka BP 182 16 crates 1 17 tonnes 0 18 boxes 2 19 number 25 20 kilogram 208 21 litres 68 Sysmiss 1771 4609 1771 0.165 120 24.624 25.73 Kgs sent or received 4607 1773 0 34500 101.035 993.45 If item were bought, how much would it cost (ZMK)? 4602 1778 -8 not collected 0 50 1 150 1 200 5 250 1 300 5 400 3 500 34 600 17 620 1 667 1 700 5 800 5 1000 162 1100 1 1200 8 1250 3 1280 1 1300 4 1500 177 1600 3 1700 1 1800 5 2000 264 2400 2 2500 154 2700 2 2800 1 2820 1 3000 199 3250 1 3300 2 3500 36 4000 112 4500 20 5000 378 5426 1 5500 4 5600 3 5800 1 6000 247 6200 1 6400 1 6500 11 6600 3 6667 2 6800 3 7000 90 7200 1 7500 32 8000 219 8400 1 8500 3 9000 25 9500 3 9600 1 10000 532 10500 1 10800 1 11000 18 12000 124 12500 10 13000 7 14000 24 14500 1 15000 227 15500 2 15600 1 16000 21 16500 1 17000 7 17500 2 18000 44 18500 1 19000 1 19500 2 20000 181 21000 8 21600 1 22000 10 22500 1 23000 5 24000 47 25000 124 26000 11 27000 5 27500 1 28000 24 28500 1 29000 1 30000 345 31000 7 31500 2 32000 16 32500 2 33000 2 33500 1 34000 4 35000 58 36000 72 36500 1 37000 3 37500 1 38000 3 39000 3 40000 60 41000 1 42000 11 43000 1 44000 3 45000 34 46000 1 47000 2 48000 19 49000 1 50000 69 51000 1 52000 1 54000 2 55000 2 56000 2 60000 92 65000 5 66000 1 68000 3 70000 13 72000 8 75000 4 78000 1 80000 6 85000 1 86000 2 90000 10 100000 1 120000 6 140000 1 150000 1 160000 1 360000 1 Sysmiss 1778 Unit for bought food item 4605 1775 -8 not collected 0 0 none 0 1 90kg bag 183 2 50kg bag 956 3 25kg bag 407 4 10kg bag 185 5 20lt tin 911 6 90kg bag unshelled 9 7 50kg bag unshelled 39 8 25kg bag unshelled 16 9 10kg bag unshelled 7 10 20lt tin unshelled 32 11 5lt gallon 577 12 meda 766 13 bunches 33 14 muchumbu 13 15 ka BP 190 16 crates 1 17 tonnes 0 18 boxes 2 19 number 26 20 kilogram 185 21 litres 67 Sysmiss 1775 4605 1775 0.165 120 23.322 25.324 Price per kg 4602 1778 27.933 50000 1275.817 2174.227 Total value of non-food item sent/received (ZMK) 1764 4616 -8 not collected 0 100 1 500 4 600 1 700 1 1000 7 1200 1 1250 1 1400 1 1500 10 1800 2 2000 21 2200 1 2500 24 2800 1 3000 23 3500 8 4000 13 4500 2 5000 90 5500 2 6000 35 6500 9 6900 1 7000 49 7500 26 8000 58 8500 7 9000 15 9500 3 10000 144 10500 2 11000 7 11500 1 12000 48 12500 3 12800 1 13000 7 13500 1 14000 14 15000 119 15500 3 16000 13 16500 1 17000 12 17500 1 18000 25 19000 4 19500 1 20000 109 21000 6 22000 8 22500 3 23000 5 24000 10 25000 63 25500 2 26000 6 27000 4 28000 13 28500 1 29000 2 30000 80 32000 4 32500 2 33000 3 34000 2 35000 40 36000 10 36500 1 37500 2 38000 1 38500 1 40000 47 42000 5 44000 1 45000 40 46000 3 47000 1 47500 1 48000 5 49000 3 50000 69 51000 2 53000 1 54000 3 55000 9 56000 3 57000 1 59500 1 60000 38 60500 1 61000 2 62000 1 63000 1 63500 1 65000 4 66000 1 66900 1 68000 2 70000 18 72000 1 74000 1 75000 9 78000 2 79000 1 80000 25 84000 1 85000 6 87000 1 90000 8 92000 2 93000 1 94000 2 95000 6 97500 1 98000 2 99000 1 100000 46 105000 3 107000 1 108000 1 110000 4 113000 1 115000 2 120000 9 124000 1 125000 2 130000 3 132000 1 132500 1 135000 2 136000 2 140000 4 145000 1 150000 33 153000 1 160000 2 164000 2 168000 1 170000 5 180000 5 181000 1 190000 2 195000 1 200000 22 210000 3 212500 1 230000 2 240000 2 245000 1 247000 1 250000 10 270000 1 295000 2 300000 10 310000 1 350000 3 380000 1 400000 6 420000 1 450000 4 480000 2 492000 1 500000 4 555000 1 600000 2 650000 1 700000 1 800000 1 1000000 1 1200000 1 1300000 1 2160000 1 8500000 1 10000000 1 Sysmiss 4616 Provincial or National median food aid price (Kw/kg) 4612 1768 98.039 50000 1070.4 1534.522 Comments 330 0 FOOD ITEM 13 FOOD ITEMS 2 Not Duplicate 17 Not dup 4 Not duplicate 15 Not duplicates 8 no info 2 not dup 209 not duplicates 60 Other (specify) commodity 182 0 2x AXES 1 4 PLATES AND SHOMEKA 2 6 PLATES 1 BANANA BUNCHES 1 BANANAS 5 BASIN 1 BATTERY 1 BEANS 3 BICYCLE TYRE 1 BIKE FOLK 1 BUNCHES OF BANANAS 1 Ball 1 Basin 1 Bicycle tube 1 Blanket 1 CABBAGE 1 CANVASS AND CLOTHES 1 CEMENT 2 CHICKEN 28 CHIKEN 3 CHISENSE 3 CHITENGE 1 CHITENGE MATERIAL 1 CLOTHING 1 CLOTHS 2 COFFINS 1 COOKING OIL 2 Clothes 1 DAMBO 1 DIESEL 1 DRESS 1 DRUM 1 FISHING NETS 3 FLASK 2 G/NUTS 1 GOAT 1 GROCERIES 3 GROCERY 1 GROUND NUTS 1 GROUNDNUTS 1 GUAVAS 1 Groceries 1 HEPS 2 HEPS - food 1 HERPES 3 HONEY 1 ILANDA 2 IRON SHEETS 2 KITCHEN UTENSILS 1 LEED MAT 1 LOCAL BEER 1 MAIZE GRAIN 1 MANGOES 1 MATS 2 MEALIE MEAL 1 MEAT 3 MILK 1 MOSQUETO NET 1 MUKWA TIMBER 1 MUNKOYO 1 MUSHROOM 1 Meat 1 Medicines 1 ONION 1 ORANGES 4 PAW-PAW 1 PEAS 1 PLATES 6 PLATES AND FLASK 1 PLUNKS 1 POT 2 POTATOES 1 POTS 1 POULTRY 1 PUMPKIN 4 PUMPKINS 4 Plastic container 1 Plate 1 RABBIT 1 RADIO 2 RADIO CASSETTE 1 RAPE 2 RECEIVED A BALL 1 SHIRTS 1 SHOES 4 SOUL MILK 1 SUGARCANE 3 SUNFLOWER 2 TABLE 1 TOMATO 1 TOMATOE 2 TOMATOES 2 TYRE 1 TYRE AND TUBE 1 VASELINE 2 VEHICLE 1 WALL CLOCK 1 WATCH 1 WRIST WATCH 1 lotion 1 no info 2 Other (specify) recipient 8 0 -8 3 NOT SPECIFIED 4 not specified 1 Other (specify) recipient 65 0 -8 6 ADRA 2 CARE 3 CARE INTERNATIONAL 5 CHURCH 13 CLUSA 3 Church 1 Church member 3 GOVERNMENT 1 GOVT FOOD PACK 2 GRZ 1 HOME BASED CARE 1 MMD 1 NGO 5 OTHER 1 PAM 10 SEECEF 1 Social welfare 2 YWCA 1 care international 2 world vision 1 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Member number of respondent 5418 1 -8 not collected 0 1 3201 2 1022 3 425 4 276 5 127 6 49 7 15 8 9 9 6 10 6 11 1 13 1 14 2 15 1 19 1 31 227 32 36 33 7 34 3 35 2 37 1 Sysmiss 1 Has anyone died in this household since April 2001? 5419 0 1 Yes 1077 2 No 4342 Did any non-hh member/organization receive cash from the hh? 5419 0 1 Yes 1239 2 No 4180 Was this hh sent/given cash from any non-hh member/organization? 5419 0 1 Yes 920 2 No 4499 Did the hh give food commodities/gifts to non-hh member/organizations? 5419 0 1 Yes 1997 2 No 3422 Did the hh receive food commodities/gifts from any non-hh member/organization? 5419 0 1 Yes 1942 2 No 3477 Main reason land not cultivated in 02/03 2393 3026 -8 not collected 0 1 need to rest the soil 495 2 not enough labor 804 3 land not productive 200 4 inadequate seed and fertilizer 453 5 inadequate implements and draught power 297 6 other use of labor more important 32 7 for livestock grazing 10 8 other specify 0 9 illness 28 10 too much rain 7 11 not enough rain, drought 12 12 too far away 5 13 problems with animals / thieves 9 14 too old 6 15 caring for self or others 5 16 was away at time 9 17 new field 5 18 land dispute 3 19 not needed for food this year 3 20 gave away land or doesn't own 2 21 death in hh 2 22 gov't road construction 1 23 not specified 5 Sysmiss 3026 Can your household rent good crop land? 5419 0 1 Yes 1185 2 No 4234 Charge for someone to rent good crop land 1185 4234 5000 700000 51667.764 49822.623 Unit of land measure 1185 4234 1 lima 624 2 acre 393 3 hectare 168 Sysmiss 4234 Kwacha (ZMK) per hectare 1188 4231 0 800000 135232.706 100063.234 Since May 2003, did you sell / exchange any cassava? 2426 2993 -8 not collected 0 1 Yes 624 2 No 1802 Sysmiss 2993 Quantity sold/exchanged of cassava 624 4795 1 200 9.663 16.848 Unit of quantity sold, cassava 624 4795 0 none 0 1 90kg bag 27 2 50kg bag 514 3 25kg bag 44 4 10kg bag 6 5 20lt tin 20 6 90kg bag unshelled 0 7 50kg bag unshelled 1 8 25kg bag unshelled 0 9 10kg bag unshelled 0 10 20lt tin unshelled 0 11 5lt gallon 0 12 meda 8 13 bunches 2 14 muchumbu 1 15 ka BP 0 16 crates 1 17 tonnes 0 18 boxes 0 19 number 0 20 kg 0 21 litre 0 Sysmiss 4795 Final conversion value 623 4796 1.5 94 56.057 15.401 Total kgs sold 623 4796 1.5 11900 532.099 917.895 Provincial or National median crop price (Kw/kg) 623 4796 210.526 478.723 321.784 95.09 Month cassava sold 624 4795 1 January 93 2 February 67 3 March 46 4 April 41 5 May 25 6 June 47 7 July 12 8 August 51 9 September 39 10 October 83 11 November 46 12 December 74 Sysmiss 4795 Type of buyer for largest transaction 623 4796 -8 not collected 0 1 Trader 337 2 Other households 284 3 Government agency / FRA 1 4 ngo 0 5 Cooperative Union 0 6 Outgrower 1 7 Other (specify) 0 Sysmiss 4796 Where did the cassava transaction take place? 624 4795 1 within village 482 2 within district (rural) 61 3 within district (urban) 61 4 other district (rural) 7 5 other district (urban) 13 6 another country 0 Sysmiss 4795 Distance transaction was from homestead in km 624 4795 0 200 5.897 20.801 Price per unit received for largest cash transaction? 624 4795 250 60000 13512.954 11769.446 Unit of price received, cassava 624 4795 0 none 0 1 90kg bag 24 2 50kg bag 397 3 25kg bag 48 4 10kg bag 8 5 20lt tin 38 6 90kg bag unshelled 0 7 50kg bag unshelled 0 8 25kg bag unshelled 0 9 10kg bag unshelled 0 10 20lt tin unshelled 0 11 5lt gallon 24 12 meda 81 13 bunches 2 14 muchumbu 0 15 ka BP 0 16 crates 1 17 tonnes 0 18 boxes 0 19 number 0 20 kg 1 21 litre 0 Sysmiss 4795 Final conversion value 624 4795 2 94 45.744 24.369 Price per kg 624 4795 33.613 842.105 313.106 175.856 Did you have dried cassava in storage at end of April 2004? 2426 2993 -8 not collected 0 1 Yes 849 2 No 1577 Sysmiss 2993 Quantity in storage of dried cassava 849 4570 0 200 4.013 10.622 Unit of quantity in storage, cassava 848 4571 -8 not collected 0 0 none 0 1 90kg bag 90 2 50kg bag 578 3 25kg bag 85 4 10kg bag 5 5 20lt tin 70 6 90kg bag unshelled 0 7 50kg bag unshelled 1 8 25kg bag unshelled 0 9 10kg bag unshelled 0 10 20lt tin unshelled 1 11 5lt gallon 6 12 meda 9 13 bunches 0 14 muchumbu 0 15 ka BP 0 16 crates 0 17 tonnes 0 18 boxes 0 19 number 0 20 kg 3 21 litre 0 Sysmiss 4571 Final conversion value 765 4654 2 65.778 39.093 12.061 Kgs cassava stored 765 4654 0 7700 142.796 335.93 Did hh ever run out of mature cassava in the field? 2425 2994 -8 not collected 0 1 Yes 307 2 No 2118 Sysmiss 2994 Month cassava ran out 305 5114 -8 not collected 0 1 January 50 2 February 43 3 March 41 4 April 30 5 May 21 6 June 21 7 July 6 8 August 19 9 September 15 10 October 25 11 November 6 12 December 28 Sysmiss 5114 Did hh have maize grain at any time between 5/03 and 4/04? 5419 0 1 Yes 4833 2 No 586 How many hammer mills are there for hh to choose from? 5413 6 -8 not collected 0 0 296 1 1491 2 1521 3 1012 4 540 5 252 6 169 7 54 8 40 9 26 10 3 12 1 13 4 15 4 Sysmiss 6 Between 5/03-12/03 how many times used hammer mill/month? 5019 400 -1 does not use 0 0 260 1 952 2 1466 3 860 4 856 5 184 6 145 7 45 8 156 9 16 10 73 12 2 14 1 15 2 16 1 Sysmiss 400 Between 1/04-4/04, how many times used hammer mill/month? 5019 400 -1 does not use 0 0 460 1 1043 2 1464 3 804 4 828 5 132 6 91 7 29 8 110 9 10 10 47 12 1 Sysmiss 400 Where is hammer mill located? 5122 297 1 Within the village 1626 2 In another village 2811 3 At district centre 685 Sysmiss 297 How many km is hammer mill from your homestead? 5122 297 0 62 4.876 6.73 Straight run mugaiwa, mill charge / 20 litre tin 4813 606 -8 not collected 0 9 Do not know 0 500 2 600 3 1000 244 1100 1 1200 166 1250 3 1300 39 1400 39 1500 648 1600 91 1700 37 1750 16 1800 44 1900 1 2000 1259 2100 1 2150 1 2200 3 2250 1 2300 5 2400 125 2500 536 2600 6 2700 4 2800 83 3000 681 3200 84 3400 2 3500 158 3600 19 3700 3 3800 7 4000 401 4200 1 4500 7 4800 3 5000 59 5500 1 6000 20 7000 2 8000 7 9999 Does not use product 0 Sysmiss 606 Refined meal, mill charge / 20 litre tin 763 4656 -8 not collected 0 9 Do not know 0 1000 10 1100 1 1125 1 1200 17 1250 5 1300 13 1320 1 1400 1 1500 154 1600 4 1700 5 1750 1 1800 8 1900 1 2000 254 2100 1 2200 2 2400 6 2500 124 2600 3 2700 1 2800 8 3000 63 3200 5 3500 23 4000 32 4400 1 4500 3 4800 2 5000 12 5600 1 9999 Does not use product 0 Sysmiss 4656 Super refined meal, mill charge / 20 litre tin 1082 4337 -8 not collected 0 9 Do not know 0 1000 66 1100 1 1125 1 1200 17 1250 6 1300 28 1400 7 1500 375 1600 3 1700 4 1800 23 1840 1 1900 1 2000 237 2200 2 2300 1 2400 2 2500 118 2600 2 2700 1 2800 1 3000 115 3200 3 3400 1 3500 38 4000 18 4500 3 5000 7 9999 Does not use product 0 Sysmiss 4337 Samp (maize grits), mill charge / 20 litre tin 503 4916 -8 not collected 0 9 Do not know 0 300 1 500 1 600 1 700 1 800 3 1000 84 1200 34 1250 2 1300 1 1400 6 1500 93 1600 7 1700 6 1750 1 1800 13 1900 1 2000 154 2400 5 2500 46 2800 2 3000 25 3500 1 3600 1 3800 1 4000 8 4800 1 5000 3 8000 1 9999 Does not use product 0 Sysmiss 4916 Did hh acquire fertilizer for 02/03 agricultural season? 5418 1 -8 not collected 0 1 Yes 1655 2 No 3763 Sysmiss 1 How much basal fertilizer did hh carry over from 02/03 season? 1655 3764 0 400 7.212 32.067 How much top dressing did hh carry over from 02/03 season? 1655 3764 0 350 6.747 29.728 Did hh acquire fertilzier for 03/04 season? 5418 1 -8 not collected 0 1 Yes 1618 2 No 3800 Sysmiss 1 Which year did hh last acquire fertilizer for fields/gardens? 3414 2005 -8 not collected 0 0 Never used fertilizer 2462 1963 1 1967 1 1968 1 1969 1 1970 4 1971 1 1972 1 1973 1 1974 2 1975 2 1977 2 1978 5 1979 2 1980 6 1982 3 1983 7 1984 9 1985 15 1986 26 1987 24 1988 21 1989 26 1990 78 1991 37 1992 34 1993 26 1994 32 1995 25 1996 31 1997 37 1998 51 1999 104 2000 158 2001 166 2002 12 Sysmiss 2005 Most important reason hh did not acquire fertilizer in 03/04? 3413 2006 -8 not collected 0 1 did not have cash 1748 2 it does not pay, it is not profitable 259 3 it is too costly 674 4 transport is expensive 41 5 not available in the stores 330 6 other (specify) 0 7 soil is good 152 8 destroys soil 27 9 uses organic / manure 11 10 no land - did not grow crops 32 11 does not want to use fertilizer 7 12 does not use fertilizer 23 13 fertilizer came late 5 14 too old 6 15 government didn't deliver 9 16 applied, did not receive 12 17 crop doesn't require fertilizer 8 18 selective distribution 6 19 not enough labor or time 4 20 registered late or did not register 7 21 no loans or rejected 4 22 floods 3 23 not specified 24 24 thieves 3 25 illness 2 26 need advice, instructions 5 27 other miscellaneous reasons 11 Sysmiss 2006 Is it financially worthwhile to use fert priced at 95,000-105,000 K per 50 kg ba 3414 2005 -8 not collected 0 1 Yes 899 2 No 1933 3 It depends 248 4 Do not know 334 Sysmiss 2005 Is it financially worthwhile to use fert priced at 95,000-105,000 K per 50 kg bag? Price paid biggest commercial purchase 50 kg bag basal 02/03 672 4747 10000 196000 74063.802 18578.371 Price paid biggest commercial purchase 50 kg bag basal 03/04 532 4887 10000 196000 84050.517 19967.71 Price paid biggest commercial purchase 50 kg bag top dressing 02/03 694 4725 10000 196000 76825.468 19556.406 Price paid biggest commercial purchase 50 kg bag top dressing 03/04 561 4858 10000 196000 87218.226 22113.741 Price paid for transport for biggest commercial purchase 50 kg bag 02/03 364 5055 1000 200000 10189.835 20143.273 Price paid for transport for biggest commercial purchase 50 kg bag 03/04 286 5133 1000 200000 10702.797 18435.686 Is it financially worthwhile to use commerically priced fert on maize fields? 846 4573 1 Yes 529 2 No 317 Sysmiss 4573 Did hh borrow money or obtain a loan (cash/in-kind) in 02/03? 5419 0 1 Yes 686 2 No 4733 What was the source of the largest loan? 686 4733 1 Government 71 2 Commercial bank 8 3 Cotton company 387 4 Tobacco company 41 5 Other crop company 27 6 Local private trader 20 7 Informal money lender 5 8 Friend/relative 26 9 Micro credit institutions 37 10 Other specify 0 11 ngo 46 12 Cooperative 3 13 Chuch 8 14 Other 4 15 Not specified 3 Sysmiss 4733 How did you repay the credit for most of the largest loan? 686 4733 1 paid cash 99 2 deducted from crop sale 429 3 paid in-kind 108 4 not yet repaid 50 Sysmiss 4733 Has hh ever received information on agricultural commodity prices? 5418 1 -8 not collected 0 1 Yes 2480 2 No 2938 Sysmiss 1 What was the main source of this information? 2480 2939 -8 not collected 0 1 Extension agent 267 2 Farmer / neighbor / friend 1057 3 Radio program 826 4 Pamphlet/newspaper 11 5 Workshop 141 6 Field day 53 7 znfu 19 8 ngo 42 9 Other (specify) 0 10 Traders 19 11 Outgrowers 6 12 Shops 5 13 Headman 11 14 Television 3 15 Dunavant 4 16 Farmer group - cooperative 2 17 Meeting 5 18 Billboard 2 19 Not specified 7 Sysmiss 2939 Does this household own a functioning radio? 5417 2 -8 not collected 0 1 Yes 2634 2 No 2783 Sysmiss 2 What time of the day do you listen to the radio? 5417 2 -8 not collected 0 1 Morning 475 2 Afternoon 796 3 Evening 1760 4 Night 547 5 Never 1839 Sysmiss 2 Which radio station do you listen to most frequently? 3578 1841 -8 not collected 0 1 znbc 2803 2 Community radio 423 3 Private radio 280 4 Other (specify) 0 5 Radio Zimbabwe 4 6 Radio Namibia 9 7 Radio Malawi 31 8 Other country 10 9 Breeze 9 10 bbc 2 11 tnbc 1 12 Not specified 6 Sysmiss 1841 Do you belong to any local radio farm forum group? 3578 1841 -8 not collected 0 1 Yes 160 2 No 3418 Sysmiss 1841 Did hh produce milk between May 2003 and April 2004? 5419 0 1 Yes 347 2 No 5072 Did hh produce eggs for eating/selling between May 2003 and April 2004? 5419 0 1 Yes 596 2 No 4823 Did hh harvest any fish from fish ponds between May 2003 and April 2004? 5419 0 1 Yes 20 2 No 5399 For basic needs, who did you feel responsible for? 5418 1 -8 not collected 0 1 Nuclear family 2495 2 Nuclear family and others 2923 Sysmiss 1 For hired additional farm labor, where would you draw most of labor? 5417 2 -8 not collected 0 1 My relatives 1908 2 Non-relatives 3509 Sysmiss 2 For business activities, where would you draw most of labor? 5416 3 -8 not collected 0 1 My relatives 2445 2 Non-relatives 2971 Sysmiss 3 Most important reason why some hhs more successful 5417 2 -8 not collected 0 1 Big family 213 2 Small family 72 3 Inheritance 164 4 Diversified income sources 294 5 Witchcraft 48 6 Supernatural powers 170 7 External assistance (wealthy family) 470 8 Hard work 3146 9 Illegal activities 26 10 Political connections 13 11 Intelligence 640 12 Other (specify) 0 13 Have farm implements 24 14 Cooperation 32 15 Have animal 12 16 God's will 18 17 Good planning 15 18 Enough labour 7 19 Education 11 20 Good farming skills 2 21 Loans available 19 22 Not specified 8 23 Lucky 2 24 NGOs and project assistance 3 25 Large, fertile land 2 26 Good prices, transport, yields 4 27 No one successful 2 Sysmiss 2 Who is most responsible for feeding your hh if food shortages? 5418 1 -8 not collected 0 1 Household member 1086 2 Relatives 2414 3 Friends 419 4 Chief / headman 11 5 grz 445 6 NGOs 145 7 No one 854 8 Other (specify) 0 9 Church 19 10 God 3 11 Neighbors 4 12 Community 1 13 Where works 1 14 Not specified 16 Sysmiss 1 Hh intentions at time made plans to plant main staple crop in 03/04? 5406 13 -8 not collected 0 1 produce enough for hh and have extra to sell 3506 2 produce just enough to feed hh only from own production 1690 3 produce all the food hh can, hope to purchase food 150 4 prod.all food hh can, hope to get help from aid & gifts 60 Sysmiss 13 Are things turning out as expected for crop production this year? 5406 13 -8 not collected 0 1 As expected 1646 2 Better than expected 480 3 Not as well as expected 3280 Sysmiss 13 What is the major problem leading to this turn of events? 3281 2138 -8 not collected 0 1 Poor rains 906 2 Not enough labor 559 3 Not enough funds to purchase inputs 1092 4 Witchcraft 21 5 Natural disasters 384 6 Other (specify) 0 7 Too much rain 51 8 Illness 37 9 Infertile soil 37 10 Late land preparation 3 11 Late planting 34 12 Other miscellaneous 5 13 Late weeding 3 14 Late delivery fertilizer 38 15 Bad seed 10 16 No fertilizer available or not enough 20 17 Crop destroyed 23 18 No equipment 8 19 Not enough land 7 20 Deaths and funerals 2 21 Mismanagement, no skills 4 22 Thefts, other problems 8 23 Old age 3 24 Accident 1 25 Did not grow crops 6 26 Didn't invest enough 3 27 Don't know 3 28 Not specified 11 29 No market 2 Sysmiss 2138 Purchase of inputs, written records 5418 1 -8 not collected 0 1 Yes 824 2 No 4594 Sysmiss 1 Other purchases, written records 5418 1 -8 not collected 0 1 Yes 692 2 No 4726 Sysmiss 1 Sales income from crops, written records 5418 1 -8 not collected 0 1 Yes 797 2 No 4621 Sysmiss 1 Sales income from livestock/poultry, written records 5418 1 -8 not collected 0 1 Yes 450 2 No 4968 Sysmiss 1 Other incomes, written records 5418 1 -8 not collected 0 1 Yes 613 2 No 4805 Sysmiss 1 Health care in this area 5418 1 -8 not collected 0 1 improved 2886 2 same 1089 3 worse 1443 Sysmiss 1 Education in this area 5418 1 -8 not collected 0 1 improved 3648 2 same 893 3 worse 877 Sysmiss 1 Local government - council services in this area 5418 1 -8 not collected 0 1 improved 871 2 same 1896 3 worse 2651 Sysmiss 1 Opportunities for selling crops in this area 5418 1 -8 not collected 0 1 improved 1932 2 same 1571 3 worse 1915 Sysmiss 1 Opportunities to buy fertilizer in this area 5418 1 -8 not collected 0 1 improved 1124 2 same 1411 3 worse 2883 Sysmiss 1 Household well-being 5418 1 -8 not collected 0 1 improved 2579 2 same 1592 3 worse 1247 Sysmiss 1 Wage willing to work for a full 2-month period 5418 1 -8 not collected 0 1 K1,000/day 139 2 K2,000/day 273 3 K3,000/day 1781 4 K4,000/day 491 5 K5,000/day 952 6 K6,000/day 264 7 K7,000/day 197 8 K8,000/day 145 9 K9,000/day 63 10 K10,000/day 652 99 No, I would not do this work for those wages 461 Sysmiss 1 How much paid to weed a 1 lima field (ZMK) 5418 1 -8 not collected 0 1000 1 1500 3 2000 22 2500 3 2800 1 3000 27 3500 3 4000 16 4500 2 5000 98 6000 29 7000 23 7500 6 8000 33 8500 1 9000 10 10000 540 11000 2 11500 1 12000 57 12500 6 13000 2 14000 8 15000 476 16000 18 17000 4 17500 3 18000 7 19000 3 20000 999 21000 2 22000 5 22500 5 23000 3 24000 18 25000 522 26000 3 27000 5 28000 18 29000 1 30000 789 31000 1 32000 6 34000 1 35000 161 36000 7 37000 1 37500 1 38000 2 40000 403 40500 1 42000 2 44000 2 45000 74 46000 5 48000 2 50000 610 55000 9 56000 1 60000 112 64000 1 65000 3 70000 49 72000 1 75000 18 80000 42 85000 2 90000 4 95000 4 100000 88 120000 8 125000 1 130000 2 140000 1 150000 17 158000 1 Sysmiss 1 How far from homestead to get vehicular transport (km)? 5418 1 -8 not collected 0 0 1049 0.1 44 0.2 51 0.3 14 0.4 7 0.5 212 0.6 7 0.7 7 0.8 12 0.9 4 1 694 1.1 1 1.2 4 1.3 1 1.5 100 1.6 14 1.7 1 1.8 2 2 367 2.2 2 2.3 1 2.5 46 2.8 1 3 313 3.2 5 3.3 1 3.5 17 3.9 1 4 216 4.5 7 4.8 3 5 312 5.5 2 6 150 6.5 1 7 178 7.4 1 7.5 13 8 179 8.5 1 9 50 9.5 1 10 185 10.5 2 11 35 11.2 3 12 85 12.5 4 12.6 1 12.8 1 13 26 13.5 1 14 36 14.5 1 15 157 15.5 2 16 25 17 26 17.5 1 18 36 19 17 20 93 21 16 22 8 23 11 24 21 25 68 26 18 27 9 28 12 29 4 30 60 31 2 32 15 33 3 34 3 35 26 36 12 37 4 38 3 39 5 40 48 42 4 43 5 44 1 45 42 46 1 47 2 48 21 49 2 50 26 51 1 52 1 54 2 55 13 56 4 58 1 59 3 60 21 62 1 65 1 68 2 70 3 72 2 73 3 75 6 80 8 81 14 85 1 90 2 94 1 97 2 98 3 100 21 110 6 115 2 120 1 125 2 126 5 127 1 130 1 145 3 Sysmiss 1 Comments 149 0 ANSWERED ONLY UP TO PAGE 16 1 CHECKED 35 CHECKED OK 54 CHECKED OK(IS NOT A CROP GROWER) 1 DID NOT USE HUMMER MILL DURING REF PERIOD 22 DID NOT USE HUMMER MILL DURING REF PERIOD (CHECKED OK) 3 DID NOT USE HUMMER MILL DURING REF PERIOD(CHECKED OK) 1 DID NOT USE THE HAMMER MILL THE WHOLE REF PERIOD 32 Other specify main reason 119 0 BACK HOME 1 BUSY LOOKING FOR FOO 1 CAN'T PAY FOR LABOUR 1 CHILD WAS SICK 1 DEATH OF HEAD 1 DID NOT HAVE FERT. 1 DONT BELONG TO H/H 1 DROUGHT 1 DROUGHT AND PESTS 1 DUE TO DIVORCE 1 DUE TO ILLNESS 1 DUE TO SICKNESS 1 ELEPHANTS DESTROY 1 ENOUGH FOR SEASON 1 FAMILY DISPUTES 1 FEAR OF ANIMALS 1 FIELD VERY FAR 1 FLOOD ALL OVER 1 FLOODS 2 FOOD IS ENOUGH 1 GAVE OUT THE FIELD 1 H/H HAD ENOUGH LAND 1 HAD FUNERAL MOVED 1 HE WAS ABSENT 1 HE WAS ILL 1 HEAD WAS SICK 3 ILLNESS 8 ILLNESS OF HEAD 1 IN ADQUATE RAINS 1 INADEQUATE FUNDS 1 INADEQUATE RAIN 2 INADEQUATE TIME 1 INADQUATE MONEY 2 INVOLVED IN ACCIDENY 1 LACK OF RAINFALL 1 LAND DISPUTE 1 LAND DISPUTES 1 LAND IS NEW 1 LAST YEAR ANIMAL EAT 1 LATE FOR PLANTATION 2 LATE RAINFALL 1 LIVESTOCKS EAT CROPS 1 LONG DISTANCE 1 LOSS OF RAIN 1 NEW AQUIRED LAND 1 NEW FIED 1 NEW FIELD 2 NOT AROUND 1 NOT ENOUGH RAINFALL 1 NOT ENOUGH RAINS 1 NOT SPECIFIED 2 NURCING A PATIENCE 1 NURSING A PATIENT 1 NURSING THE WIFE 1 OLD AGE 4 OLD AGE AND SICKNESS 1 OUT OF THE VILLAGE 1 OUT TO LUSAKA 1 PIGS WERE EATING CRO 1 POOR RAINFALL 1 RAINS 1 RAINS WERE LATE 1 RAN OUT OF TIME 1 RD.CONSTRUCT BY GOVT 1 ROCKY LAND 1 SHE IS CRIPPLED 1 SHE WAS IN LKS 1 SHE WAS SICK 2 SHORT OF TIME 1 SICK 3 SICKNESS 2 SOIL NOT FERTILE 1 STUBON WEED 1 STURBON WEEDS 1 THE HH HEAD WAS SICK 1 THEFT 1 THIEVES 1 TIME 1 TIME LIMIT 1 TIME NOT ENOUGH 1 TOO FAR 3 TOO LATE TO PLOUGH 1 TOO MANY STONE 1 TOO MUCH RAINS 1 TOO MUCH TERMITES 1 TOO OLD TO WORK 1 WAS IN LUSAKA 1 WAS SICK 1 WATER 1 WATER LOGGING 1 WIFE SICK 1 WIFE SICK IN HOSP. 1 WIFE WAS IN ROAD ACC 1 WILD PIGS 1 WORKING FOR FOOD 1 Buyer - other specify 0 0 Did not acquire fertlizer - other specify 361 0 -8 2 6 1 ADRA PROMISED TO GIV 1 ALREADY FERTILE 1 ALUVIAL SOILS RIVER 1 ANIMAL MANURE 1 APPLIED BUT NEVER RE 2 APPLIED BUT NOT GIV 1 AWAITING REPATRATION 1 BENEFITS FARM OWNER 1 BETTER THAN FERTIL 1 CAME LATE 1 CAN NOT AFFORD 1 CATHOLIC GAVE MEMBER 1 CO-OP. NOT EXISTS 1 CROP ROTATION 1 CROPNOTNEEDFERTILIZE 1 DAMAGES THE SOIL 2 DEPEND ON CASSAVA 1 DESTROY SOIL 1 DESTROYS THE SOIL 3 DID NO ACQUIRE FERT 1 DID NOT FARM 1 DID NOT GROW ANY CRO 1 DID NOT GROW CROPS 1 DID NOT HAVE TO 1 DID NOT NEED TO 1 DID NOT RECIEVE 1 DID NOT REGISTER 4 DID'NT CULTIVATE 1 DIDNOT GROW MAIZE 1 DIDNT CULTIVATE 1 DIDNT KNOW PROCEDURE 1 DIFFICULT TO ACCESS 1 DISTRIBUTED UNFARELY 1 DO NOT GROW CROPS 2 DO NOT KNOW 1 DO NOT USE IT 1 DOES GROW ANY CROPS 1 DOES NOT CULT. CROPS 1 DOES NOT GROW CROPS 1 DOES NOT KNOW 1 DOES NOT NEED FERT 1 DOES NOT RECEIVE 1 DOES NOT USE FERT. 3 DOES NOT USE FERTIZE 1 DOESN'T HAVE A FARM 1 DOESNT GROW MAIZE 1 DON'T GROW MAIZE 1 DON'T UES FERTILIZER 1 DON'T USE 1 DON'T USE FERT. 1 DON'T USE FERTILIZER 5 DON'T USE FERTOLIZER 1 DON,T WANT 1 DONOT HAVE FIELD 1 DONT APPLY FERTISER 1 DONT USE FERTILIZER 1 DONT WANT TO USE FER 1 DOSE NOT USE FERT. 1 FEAR 2 DESTROY FIELD 1 FERT DESTROY SOIL 1 FERT DESTROYS SOIL 1 FERT NOT ENOUGH 1 FERT. NOT REQUIRED 1 FERTILE LAND 11 FERTILE SOIL 3 FERTILE SOILS 1 FERTILIZER CAME LATE 1 FERTILIZER NOT GOOD 1 FERTILIZER NOT GOOD2 1 FEW COMMODITY 1 FIEDS VERY FERTILE 1 FLOODS 1 GIVEN BY RALATIVES 1 GOOD SOIL 1 GOVT DIDNT DELIVER 1 GOVT DOES NOT GIVE 1 GOVT DOES NOTPROVIDE 1 GOVT STOPPED BRINGIN 1 GOVT STOPPED GIVING 1 GOVT. DIDNT DELIVER 1 GOVT.NOT GIVING FERT 1 H/H HEAD WAS AWAY 1 HAD CREDIT WITH FRA 1 HAD NO TIME 1 HAS ANIMAL MANURE 1 HAS NEVER USED FETIL 1 HAS NO FIELDS 1 HE WAS AWAY FOR 24MO 1 HH HAS NO FIELD 4 HH NEVER GREW CROPS 1 IT CAME LATE 1 IT CAN DISTROY SOIL 1 IT DAMAGES THE SOIL 1 IT DESTROYS THE SOIL 3 LAND ALREADY FERTILE 1 LAND AREADY FERTILE 1 LAND FERTILE 3 LAND IS FERTIL 1 LAND IS FERTILE 15 LAND IS GOOD 1 LAND IS SO FERTILE 1 LAND IS TOO FERTILE 1 LAND IS VERY FERTILE 1 LAND NATURAL FERTILE 1 LAND STILL FERTILE 7 LAND VERY FERTILE 2 LAND WAS FERTILE 1 LATE DELIVERY OF INP 1 LATE DISTR.OF FERT. 1 LOANS REJECTED 1 NEED FREE FERT. 1 NEVER CULTIVATED 1 NEVER GREW 1 NEVER USE FERT. 1 NEVER USE FERTILIZER 1 NEVER USED FERTILIZE 1 NEVER USED IT BEFORE 1 NEW FARMER 1 NO ACCESS 1 NO ACCESS LOANS 1 NO ADVICE 1 NO AGRICULTURE ACTIV 1 NO CROPS GROWN 1 NO ENOUGH LABOUR 1 NO FERTILIZER 3 NO FIELD TO ADD TO 1 NO LAND TO CULTIVATE 1 NO LOAN FACILITIES 1 NO LOAN FACILITY 1 NO NEED 13 NO NEED AT THIS AGE 1 NO NEED OF FERT 1 NO NEED OF FERT. 5 NO NEED OF FERTILIZE 1 NO NEED TO 2 NO NEED TO APPLY 1 NO ROAD FACILITY 1 1 NO USE 2 NOACCESS TO LAND 1 NON FARMERS MEMBERS 1 NON-CROP GROWING HH 1 NOT ALLOWED IN AREA 1 NOT APPLICABLE 1 NOT AVAIL.IN AREA 1 NOT AVAILABLE 1 NOT ENOUGH FOR ALL 1 NOT ENOUGH LABOUR 1 NOT FROM PAM 1 NOT GIVEN 1 NOT GIVEN BYLEADERS 1 NOT GOOD FOR SOIL 2 NOT GROWING CROPS 1 NOT INTERESTED 3 NOT NECESSARY 3 NOT NEEDED 1 NOT PROVIDED 1 NOT PROVIDED TO HH 1 NOT REQUIRED 3 NOT SPECIFIED 6 NOT SUITABLE FO FERT 1 NOT WILLING 2 NURSING A PATIENT 1 No govt support 1 Not availab. in area 2 OLD AGE 2 Old age 1 PAID FERT NOT DELIVE 1 POOR HEALTH 1 PROVIDED SELECTIVELY 1 REGISTERD LATE 1 REGISTERED LATE 2 RICH SOILS 1 SEGREGATOIN 1 SELECTIVE DISRIBUTOR 1 SELFISH LEADERS 1 SHE HAS NO FIELD 1 SHE WAS AWAY 1 SOIL ALREADY FERTILE 3 SOIL FERTILE 2 SOIL IS FERTILE 29 SOIL IS FETILE 1 SOIL IS GOOD 3 SOIL IS VERY FERTILE 1 SOIL LOOSE FERTILITY 1 SOIL NOT FERTILE 1 SOIL NOT SUITABLE 1 SOIL STILL FERTILE 9 SOIL VERY FERTILE 2 SOIL VERY FETILE 1 SOILNOTSIUTABLEFOFER 1 SOILS ARE FERTILE 1 SOILS FERTILE 1 SORGHUM GROWER 1 SPOILS SOIL FERTILIZ 1 SPOILS THE SOIL 1 SWINDLED 1 TERTILE LAND 1 THE LAND FLOODED 1 THE LAND IS FERTILE 2 THE LAND IS GOOD 1 THE SOIL IS BAD 1 THE SOIL IS FERTILE 1 THE SOIL IS GOOD 1 TO OLD TO FARM 1 TOO MUCH WATER 1 TOO OLD 1 Thieves 2 UNABLE TO ACCESS 1 UNFAIRLY DISTRIBUTED 1 UNUSED TO FERTILIZER 1 USE 1 USE ANIMAL MANURE 3 USE MANURE 1 USED ANIMAL MANURE 2 USED ORGANIC MANURE 1 VISITING RELATIVES 1 WANT NATURAL MANUREN 1 WERE NOT GIVEN 1 destroys fertility 1 ignorant 1 Source of largest long - other spsecify 70 0 AFRICARE 2 CARE 1 CATHOLIC CHURCH 2 CCF 1 CHURCH 4 CLUSA 13 COOPERATIVE 2 COORPPERATIVE 1 COTTON SEED 1 DO NOT KNOW 1 DUNAVAT 1 DUNVANT 1 EFZ 1 GOLDEN VALLEY 1 JICA 1 KATONDWE MISSION 1 KEEPERS 3 MULUNGUSHI TEXITLES 1 MULUNGUSHI TEXTILE 1 NGO 2 NORTH LUANGWA 1 NOT SPECIFIED 2 OMAS 1 PAM 17 SHAPES (AGRICULTURE) 1 WOMEN FOR CHANGE 1 WORLD VISION 5 ZEST 1 Specify other main source 84 0 A FRIEND 1 AGRIC SHOW 1 AGRICULTURE 1 ANNOUCEMENT BY CHIEF 1 BILL BOARD 2 CHIEF 5 CHIEF FIXES PRICES 1 CHIEF/HEADMAN 1 CO OPERATIVES 1 COTTON COMPANY 1 COUNCILOR 1 DUNAVANT 3 FARMER GROUP 1 FREINDS 1 FRIEND 1 FRIENDS 2 FRIENDS AND RELATIVE 1 FROM SHOPS 1 HEADMAN 1 LOCAL CHIEF 1 LOCAL COURT JUSTICES 1 LOCAL PEOPLE 1 MARKET 4 MARKETERS 1 MEETING 2 MP 1 OTHER COUNTRY 1 OTHER HOUSEHOLD 10 OTHER HOUSEHOLDS 4 OUT GROWER 4 OUT GROWERS 1 OUTGROWER 1 OXFAM 1 SHEP 1 SHOPS 1 SOWETO 1 TELEVISION 3 THE HEADMAN ADVICES 1 TRADER 2 TRADERS 10 TRDERS 1 TREADERS 1 UNCLE 1 USED SHOPS 1 WOMEN FOR CHANGE 1 Specify other radio station 67 0 BBC 1 BBC & CHANNEL AFRICA 1 BREEZE 9 CONGO RADIO STATION 1 FOREIGN RADIO 1 FOREIGN STATION 1 FROM OTHER COUNTRIES 1 MALAWI 2 MALAWI BROADCASTING 6 MALAWI RADIO 5 MALAWIAN 1 MALAWIAN BROADCASTIN 1 MALAWIAN STATION 1 NOT SPECIFIED 1 OTHER COUNTRY 1 OTHER COUNTRY STATIO 1 RADIO MALAWI 14 RADIO NAMIBIA 9 RADIO ZIMBABWE 4 SOUTH AFRICAN RADIO 1 STATION OTHER COUNTR 3 TNBC 1 malawi radio 1 Other specify reason 178 0 ACCESS TO LAONS 1 AGRICULTURE COURSE 1 BEING LUCK 1 BIG FERTILE LAND 1 BLESSINGS FROM GOD 1 BUSINESS 2 CAPITAL 5 CAPITAL DIFFERENT 1 CO-OPERATION 7 CO-ORDINATION 4 COOPERATION 1 DIFFERENT ABILITIES 1 DIFFERENT THOUGHTS 1 DO NOT KNOW 3 DO NOT TAKE ADVICE 1 DOES NOT KNOW 1 DON'T KNOW 1 DONT KNOW 10 DONT TRUST EACH OTHE 1 DRAUGHT ANIMALS 2 EDUCATED 3 EDUCATION 3 ENOUGH CAPITAL 1 ENOUGH FARMING TOOLS 1 ENOUGH IMPUTS 1 ENOUGH LABOUR 6 FAMILIES ARE UNITED 1 FAMILY COOPERATION 1 FARMING IMPLEMENTS 3 FARMING WELL 1 FOLO INST FRO EXT OF 1 GOD 'S TALENTS 1 GOD GIVES 3 GOD' PLAN 1 GOD'S BLESSINGS 1 GOD'S PLAN 1 GOD'S PLANS 2 GOD'S REASON 1 GOD'S WILL 2 GOD,S WILL 2 GODS WILL 1 GOD`S WILL 1 GOOD BACKGROUND 1 GOOD BUSINESS 1 GOOD FOUNDTION 1 GOOD GOVT PRICE 1 GOOD PLANING 1 GOOD PLANNING 8 GOOD PLANS 3 HAVE CATTLE 2 HAVE DRAUGHT ANIMALS 2 HAVE FARM EUIPMENT 1 HAVE FARM IMPLEMENT 1 HAVE FARM IMPLEMENTS 12 HAVE FARM IMPLIMENTS 1 HAVE FARM IMPUTS 1 HAVE IMPLEMENTS 1 HAVE MANY CATTLE 1 HAVING BETTER EQUIPM 1 HELP FROM CHILDREN 1 HELPING EACH OTHER 1 HIGH RANKS 1 HVE DRAUGHT ANIMALS 1 INVOLVED WITH NGOS 1 JOINT WORK 1 LACK OF CO-OPERATION 1 LACK OF COOPERATION 1 LACK OF DEV. PROJECT 1 LACK OF EDUCATION 1 LACK OF LOAN CREDIT 1 LARGE FARM 1 LOANS 2 LOINT WORK 1 MEMBERS OF H/H ASSIT 1 MONEY FROM TOWN 1 MORE/ENOUGH CATTLE 1 MOREASING LABOR 1 NO DIFFERENCES 1 NO FARM IMPLEMENTS 1 NO IMPLEMENTS 1 NO JEALOUS IN FAMILY 1 NO ONE IS SUCCESSFUL 1 NO RESOURCES 3 NOT SPECIFIED 5 NOT WILLING TO LEARN 1 ONLY GOD KNOWS 1 OTHERS HAVE ANIMALS 1 OWN DRAUGHT ANIMALS 2 PEOPLE DO PEACE WORK 1 POOR YIELD 1 POOR YIELD, DRAUGHT 1 SELLING REED MATS 1 SOME IN GOOD JOB 1 SPONSERED 1 TOGETHERNESS 1 TRANSPORT 1 UNITY AMONG FAMILIES 1 UNITY AMONGST MEMBER 1 UNITY IN THE FAMILY 2 VERY LUCKY 1 WELL UP HOUSEHOLD 1 WORK AS FAMILY 1 WORK TOGETHER FAMILY 1 WORKING TOGATHER 1 WORRIED OF PROBLEMS 1 Other specify most responsible 36 0 CHURCH 14 CHURCH MEMBERS 4 COMMUNITY 1 GOD 3 HH SELL PROPERTIES 1 HH SELLS CHICKEN 1 HH WORKS FOR FOOD 1 LOOK FOR PIRCE WORK 1 NEIGHBOUR 4 NON HH MEMBER 1 PIECE WORK 1 ROMAN CATHOLIC CHURC 1 THE HEAD 1 THROUGH PEICE WORK 1 WHERE I WORK 1 Other specify major problem 337 0 A LOT OF RAIN 1 A LOT OF RAINS 1 ADEQUATE RAINFALL 1 AGUIRED VERY LATE 1 ANIMALS ATE CROPS 1 APPLIED FERTILIZ LAT 1 ATEN BY ANTS 1 ATTACKED BY ELEPHANT 1 BAD SEED 2 BAD SEED PLANTED 1 BECAUSE OF TERMITES 1 BIG FARMILY 1 BURNT BY BUSH FIRE 1 CATTLE GRASED PLANTS 1 CATTLE GRAZED FIELD 1 CHILD IN HOSPITAL 1 CHRONICALLY ILL 1 CONTINOUS ILLNESS 1 CROP THEFT 1 CROP WORM INFESTED 1 CROPS DESTROYED 1 CROPS PLANTED LATE 1 DELAY IN PLANTING 1 DESTROYED BY PESTS 2 DID NOT CULTIVATE 1 DID NOT PLANT EARLY 1 DID NOT WORK HARD 1 DIDN'T CULTIVATE 1 DIDN'T INVEST ENOUGH 1 DIDNT GET ON TIME 1 DO NOT HAVE TOOLS 1 DO NOT KNOW WHY 1 DOES NOT GROW CROPS 1 DON'T KNOW 1 DONT KNOW 1 DROUGHT 3 DUE TO HEAVY RAINFAL 1 DUE TO HEAVY RAINS 1 DUE TO LATE PLANTING 1 DUE TO LOW FERTILITY 1 EARLY RAINS 1 ELEPHANTS ATE CROPS 1 ELEPHANTS EAT CROPS 1 EXCESS RAINFUL 1 FEAR OF SHORTFALL 1 FERT ACQUIRED LATE 1 FERT CAME LATE 1 FERT NOT AVAILABLE 1 FERT. NOT AVAILABLE 1 FERT. NOT GIVEN 1 FERTILE LAND 3 FERTILER CAME LATE 1 FERTILIZER CAME LATE 7 FERTILIZER WAS LATE 3 FIELD WAS WATERLOGGE 1 FLOODS 12 FUNERALS 1 GODS SAKE 1 GRAND CHILD SICK 1 HAD NO FIELD 1 HEAD BUILDING 1 HEAD WAS SICK 1 HEAVY RAINFALL 1 HEAVY RAINS 2 HH HEAD HOSPITALISED 1 HUSBAND PASSED AWAY 1 ILLNESS 14 ILLNESS AND DEATH 1 IMPUTS DELIVERED LAT 1 INADQUATE FERT 1 INADQUATE LAND 1 INESS OF ALL MEMBERS 1 INFERTILE FIELDS 1 INPUTS NOT DELIVERED 1 INSECTS ATE SOME CRO 1 INSECTS ATTACKED 1 INSUFFICIENT FERT 3 INSUFFICIENT LAND 1 INVOLVED IN ACCIDENT 1 LACK DRAUGHT ANIMALS 1 LACK FARM IMPLEMENTS 1 LACK OF FERTILIZER 2 LACK OF IMPLEMENTS 1 LACKOF SEEDS&FERTILZ 1 LAND NOT ENOUGH 1 LAND NOT FERTILE 5 LAND NOT PRODUCTIVE 2 LATA PLANTING 1 LATE APPLICATION FER 1 LATE APPLICATION OF 1 LATE APPLY FERTILIZE 1 LATE COMING OF INPUT 3 LATE DELIVER OF FERT 2 LATE DELIVERY 4 LATE DELIVERY FERT 1 LATE DELIVERY FERTIL 1 LATE DELIVERY INPUTS 2 LATE FARMING 1 LATE FERT APPLICA 1 LATE FERTILIZER 1 LATE OF SEED AND FET 1 LATE PLANTING 27 LATE PLINTING 1 LATE PLOUGHING 1 LATE SUPPLY OF FERT. 1 LATE WEEDING 2 LESS RAINS 1 LOST ITS FERTILITY 1 Late field preparat. 1 MARKET PROBLEM 1 MATTER OF TIME 1 MISMANAGEMENT 1 MONKEYS DESTROYED CR 1 NEW LAND 1 NO ADVICE ON FERT 1 NO ANIMAL POWER 1 NO ENOUGH FERTILIZER 1 NO ENOUGH LAND 1 NO ENOUGH RAINS 1 NO FARMING IMPLEMENT 1 NO FERT 1 NO FERTILIZER 4 NO IMPLEMENTS 2 NO LAND 2 NO MANURE 2 NO MARKET TO SELL TO 1 NOT ACTIVE IN 2003AG 1 NOT ENOUGH FERT. 1 NOT READY 1 NOT SPECIFIED 4 NURSING SICK WIFE 1 NURSING THE SON 1 OLD AGE 2 OWNER SICK 1 PESTS 3 PESTS (MOTES) 1 PLANTED LATE 1 POOR FERTILE 1 POOR GERMINATION 1 POOR MANAGEMENT 2 POOR MNGT HEAD SICK 1 POOR RAINFALL 2 POOR RFAINFALL 1 POOR SEED GERMINATIO 1 POOR SKILLS 1 POOR SOIL 3 POPS 1 PROBLEMS 1 RAINS DELAYED 1 RAINS DESTRYED CROPS 1 RAINS STARTED LATE 1 RAINS STOP.BEF.RIPE 1 RAJA GRAIN BOLLER 1 RATS 1 RESPONDENT SICK 1 SCARED OF DROUGHT 1 SEED EATEN BY MICE 1 SEED WAS DELAYED 1 SEED WAS DESTROYED 1 SEED WAS NOT GOOD 1 SHE WAS SICK 1 SHORTAGE OF FERT. 1 SICKNESS 7 SICKNESS AND FUNERAL 1 SOIL HAS LOST FERTI. 1 SOIL INFERTILITY 2 SOIL IS ACIDIC 1 SOIL LOST FERTILITY 2 SOIL NOT FERTILE 9 SOIL NOT GOOD 2 SOIL NOT PRODUCTIVE 1 SOILHASLOSTFERTILITY 1 THE HEAD WAS SICK 1 THEFT 2 THIEVES STEALING 1 TILLAGE NOT FAVOURAB 1 TO MUCH RAINFALL 1 TO MUCH RAINS 1 TOO MUCH RAIFALL 1 TOO MUCH RAIN 2 TOO MUCH RAIN AT TH 1 TOO MUCH RAINFALL 4 TOO MUCH RAINS 27 TOO MUCH WATER 1 TOO OLD TO WORK 1 UN FERTILE LAND 1 USED LOCAL SEEDS 1 VARIETY OF SEEDS 1 WAS GRABED OFF FIELD 1 WATER LOGGED 1 WATER WAS ALOT 1 WEEDING DONE LATE 1 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Village 5419 0 Is this person still the head? 5419 0 1 Yes 5080 2 No 339 Household head in 2004 1431 0 Is this the same household? 340 5079 1 Yes 338 2 No 2 Sysmiss 5079 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Is this the same respondent from 2001? 5410 9 1 Yes 3066 2 No 2344 Sysmiss 9 Response status 5419 0 1 Completed 5419 2 Refusal 0 3 Moved out of SEA 0 4 Hh dissolved 0 5 Non-contact 0 Member number of respondent 5419 0 -8 37 3.239 6.618 Enumerator code 5418 1 2 956 414.973 311.594 Supervisor code 5419 0 100 950 486.542 262.388 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 12216 0 1 Central 1316 2 Copperbelt 460 3 Eastern 3201 4 Luapula 665 5 Lusaka 370 6 Northern 1745 7 Nwestern 468 8 Southern 2805 9 Western 1186 District 12216 0 101 Chibombo 440 102 Kabwe Urban 81 103 Kapiri Mposhi 179 104 Mkushi 113 105 Mumbwa 372 106 Serenje 131 201 Chililabombwe 25 202 Chingola 32 203 Kalulushi 25 204 Kitwe 20 205 Luanshya 40 206 Lufwanyama 100 207 Masaiti 52 208 Mpongwe 145 209 Mufulira 21 210 Ndola Urban 0 301 Chadiza 276 302 Chama 71 303 Chipata 774 304 Katete 493 305 Lundazi 486 306 Mambwe 62 307 Nyimba 123 308 Petauke 916 401 Chienge 46 402 Kawambwa 126 403 Mansa 138 404 Milenge 40 405 Mwense 141 406 Nchelenge 59 407 Samfya 115 501 Chongwe 163 502 Kafue 154 503 Luangwa 53 504 Lusaka Urban 0 601 Chilubi 65 602 Chinsali 247 603 Isoka 247 604 Kaputa 56 605 Kasama 143 606 Luwingu 106 607 Mbala 218 608 Mpika 213 609 Mporokoso 95 610 Mpulungu 67 611 Mungwi 160 612 Nakonde 128 701 Chavuma 27 702 Kabompo 104 703 Kasempa 52 704 Mufumbwe 28 705 Mwinilunga 105 706 Solwezi 83 707 Zambezi 69 801 Choma 506 802 Gwembe 134 803 Itezhi-tezhi 150 804 Kalomo 534 805 Kazungula 142 806 Livingstone 21 807 Mazabuka 358 808 Monze 478 809 Namwala 190 810 Siavonga 72 811 Sinazongwe 220 901 Kalabo 133 902 Kaoma 194 903 Lukulu 189 904 Mongu 193 905 Senanga 195 906 Sesheke 145 907 Shangombo 137 Census Supervisory Area 12216 0 1 162 47.439 35.301 1st & 2nd digit of Standard Enumeration Area (SEA) 12216 0 1 34 3.865 5.919 Household Number 12216 0 1 368 54.699 44.873 Livestock owned 12216 0 1 Cattle 1259 2 Cows 1030 3 Heifers 552 4 Bulls 512 5 Untrained oxen 346 6 Trained oxen 815 7 Steers / tollies 323 8 Calves 612 9 Pigs 774 10 Goats 1330 11 Sheep 78 12 Donkeys 12 13 Chickens 3972 14 Guinea fowls 276 15 Ducks & geese 281 16 Rabbits 44 Did you own livestock? 12216 0 1 Yes 12216 2 No 0 How many livestock were owned by household in May 2003? 7640 4576 -8 not collected 0 0 769 1 1370 2 1390 3 814 4 722 5 423 6 434 7 235 8 260 9 119 10 194 11 77 12 120 13 55 14 50 15 94 16 43 17 22 18 30 19 25 20 61 21 22 22 18 23 13 24 12 25 31 26 11 27 14 28 10 29 2 30 31 31 4 32 14 33 3 34 6 35 12 36 8 37 2 38 5 39 4 40 17 41 3 42 4 43 1 44 5 45 2 46 3 47 2 48 2 49 2 50 11 52 5 53 3 54 1 56 3 57 1 58 1 60 5 61 1 63 2 64 1 66 1 68 4 69 1 70 1 72 1 74 2 75 1 76 2 79 1 80 2 85 1 88 1 90 1 96 1 97 1 100 2 126 1 130 1 138 1 140 1 161 1 172 1 182 1 200 1 208 1 210 1 237 1 312 1 632 1 Sysmiss 4576 How many livestock are owned now? 12216 0 -8 not collected 0 0 921 1 1799 2 1824 3 1131 4 1042 5 726 6 674 7 464 8 445 9 247 10 528 11 148 12 303 13 146 14 120 15 313 16 94 17 87 18 87 19 48 20 214 21 44 22 40 23 23 24 29 25 93 26 30 27 16 28 26 29 16 30 162 31 12 32 24 33 9 34 4 35 35 36 8 37 10 38 9 39 4 40 61 41 5 42 8 43 6 44 4 45 8 46 3 47 4 48 6 49 2 50 34 51 2 52 7 53 4 54 3 55 8 56 9 58 2 60 16 61 3 62 1 63 2 64 1 65 2 66 1 69 1 70 7 71 1 72 2 73 1 75 1 76 2 79 2 80 4 83 1 86 1 88 1 90 2 95 1 98 1 100 10 105 1 120 1 122 2 125 1 127 1 150 2 165 1 198 1 199 1 200 2 207 1 212 1 250 1 260 1 300 2 693 1 1500 1 Between 05/03 and 04/04 how many died due to illness? 12216 0 -8 not collected 0 0 7584 1 946 2 703 3 468 4 356 5 359 6 265 7 151 8 167 9 90 10 309 11 32 12 78 13 28 14 29 15 147 16 26 17 23 18 36 19 13 20 127 21 12 22 13 23 5 24 11 25 33 26 6 27 6 28 8 29 6 30 84 31 2 32 7 33 4 35 9 36 2 38 1 40 15 42 4 43 1 45 1 46 1 48 2 49 3 50 15 58 1 60 5 63 1 64 1 65 1 67 1 70 6 75 1 80 2 100 7 163 1 300 1 Between 5/03 and 4/04 how many were sold live or for slaughter? 12216 0 -8 not collected 0 0 8762 1 969 2 641 3 428 4 362 5 280 6 172 7 102 8 92 9 32 10 160 11 16 12 33 13 5 14 8 15 41 16 9 17 5 18 7 19 5 20 35 21 1 22 4 23 2 24 2 25 7 26 1 29 1 30 8 34 1 36 1 40 5 42 1 46 1 49 1 50 3 60 3 62 1 67 1 79 1 80 1 100 3 148 1 200 1 1600 1 The last time this animal was sold, how many were sold? 3072 9144 -8 not collected 0 1 1305 2 715 3 349 4 237 5 155 6 79 7 47 8 26 9 8 10 68 11 8 12 3 13 3 14 4 15 16 16 1 18 2 19 2 20 16 22 1 23 3 24 1 25 4 29 1 30 4 33 1 36 1 38 1 40 3 42 1 50 2 60 1 62 1 100 2 200 1 Sysmiss 9144 The last time the hh sold, how much was received in total (ZMK)? 3080 9136 -8 not collected 0 2500 6 3000 5 3500 7 4000 11 4500 3 5000 78 5500 2 6000 59 6500 3 7000 55 7500 9 8000 85 8500 5 9000 24 9500 2 10000 223 10500 2 11000 10 12000 71 12400 1 12500 8 13000 15 13500 2 14000 32 14500 1 14600 1 15000 128 15500 1 16000 35 16500 1 17000 15 17500 4 18000 27 19000 5 19500 2 20000 141 21000 26 22000 10 22500 4 23000 6 23500 1 24000 45 24500 2 25000 53 25500 3 26000 6 26500 1 27000 13 28000 23 28500 1 29000 3 30000 154 31000 3 32000 19 33000 1 34000 5 35000 53 36000 21 36500 1 37000 1 37500 2 38000 5 39000 1 40000 111 41000 2 42000 11 44000 2 45000 70 45500 1 46000 2 47000 2 47500 1 48000 14 49000 1 49500 1 50000 116 51000 2 52000 3 52500 1 54000 3 55000 12 56000 7 57000 2 58000 2 60000 93 60500 1 61500 1 62000 1 64000 3 65000 12 66000 1 67000 1 69000 1 70000 48 70500 1 72000 4 73000 2 74000 2 75000 36 78000 3 80000 68 82000 1 83000 1 84000 2 85000 9 87000 3 88000 3 90000 34 95000 9 96000 1 100000 53 102000 1 105000 11 108000 1 110000 8 113000 1 115000 2 120000 28 123000 1 124000 1 125000 4 126000 2 127000 1 130000 8 135000 8 140000 10 144000 1 145000 1 150000 39 153000 1 155000 4 156000 1 158000 1 160000 17 165000 1 166000 1 168000 1 170000 9 175000 6 175500 1 176000 1 180000 12 185000 1 186000 1 190000 3 191000 1 195000 3 200000 27 205000 1 210000 5 220000 1 225000 3 237000 1 240000 14 245000 3 250000 21 260000 3 265000 1 266000 1 270000 6 280000 9 290000 3 300000 43 310000 2 318000 1 320000 5 330000 1 340000 1 345000 1 350000 21 360000 2 370000 2 380000 3 390000 1 392000 1 400000 24 420000 2 430000 1 440000 2 450000 15 460000 3 464000 1 470000 1 475000 1 480000 6 490000 1 500000 29 519000 1 520000 1 525000 1 530000 2 540000 2 550000 8 570000 1 580000 2 588000 1 590000 2 600000 24 620000 2 630000 2 640000 1 650000 6 670000 1 675000 3 680000 4 700000 17 720000 1 740000 1 750000 8 760000 1 780000 2 785000 1 800000 34 820000 1 850000 6 860000 1 870000 2 880000 1 900000 28 920000 1 950000 8 990000 1 1000000 15 1100000 5 1150000 3 1200000 26 1250000 1 1300000 3 1330000 1 1400000 10 1500000 12 1570000 1 1600000 7 1700000 1 1750000 1 1760000 1 1800000 11 2000000 6 2040000 1 2100000 3 2120000 1 2200000 1 2250000 1 2300000 2 2400000 7 2500000 5 2600000 1 2650000 1 2800000 1 2880000 1 3000000 2 3100000 1 3250000 1 3500000 1 4800000 2 6400000 1 7000000 1 Sysmiss 9136 Comments 21 0 CHECKED OK 3 Questionnaire missing 1 checked 17 Province 1292 0 1 Central 339 2 Copperbelt 1 3 Eastern 144 4 Luapula 53 5 Lusaka 66 6 Northern 77 7 Nwestern 9 8 Southern 483 9 Western 120 District 1292 0 101 Chibombo 118 102 Kabwe Urban 28 103 Kapiri Mposhi 73 104 Mkushi 29 105 Mumbwa 43 106 Serenje 48 201 Chililabombwe 0 202 Chingola 0 203 Kalulushi 0 204 Kitwe 0 205 Luanshya 0 206 Lufwanyama 0 207 Masaiti 0 208 Mpongwe 0 209 Mufulira 1 210 Ndola Urban 0 301 Chadiza 9 302 Chama 0 303 Chipata 44 304 Katete 13 305 Lundazi 30 306 Mambwe 3 307 Nyimba 2 308 Petauke 43 401 Chienge 0 402 Kawambwa 2 403 Mansa 10 404 Milenge 0 405 Mwense 37 406 Nchelenge 4 407 Samfya 0 501 Chongwe 29 502 Kafue 29 503 Luangwa 8 504 Lusaka Urban 0 601 Chilubi 0 602 Chinsali 11 603 Isoka 20 604 Kaputa 0 605 Kasama 10 606 Luwingu 2 607 Mbala 12 608 Mpika 4 609 Mporokoso 6 610 Mpulungu 0 611 Mungwi 4 612 Nakonde 8 701 Chavuma 0 702 Kabompo 0 703 Kasempa 8 704 Mufumbwe 1 705 Mwinilunga 0 706 Solwezi 0 707 Zambezi 0 801 Choma 97 802 Gwembe 25 803 Itezhi-tezhi 42 804 Kalomo 60 805 Kazungula 12 806 Livingstone 9 807 Mazabuka 43 808 Monze 92 809 Namwala 33 810 Siavonga 6 811 Sinazongwe 64 901 Kalabo 5 902 Kaoma 10 903 Lukulu 16 904 Mongu 21 905 Senanga 42 906 Sesheke 14 907 Shangombo 12 Census Supervisory Area 1292 0 1 162 45.42 32.726 1st & 2nd digit of Standard Enumeration Area (SEA) 1292 0 1 34 3.19 4.474 Household Number 1292 0 1 306 50.09 39.837 Milk/egg/fish production 1292 0 1 milk produced/month (liters) 347 2 fresh milk sold/bartered / month (liters) 140 3 sour milk sold/bartered / month (liters) 82 4 eggs produced/month (number) 596 5 eggs sold / month (number) 93 6 revenue received from selling fish 15 7 value of fish consumed by hh if fish were sold 19 May 2003 quantity produced/sold 1292 0 0 200000 707.553 8588.789 June 2003 quantity produced/sold 1292 0 0 150000 450.081 6430.657 July 2003 quantity produced/sold 1292 0 0 120000 195.318 3760.391 August 2003 quantity produced/sold 1292 0 0 980000 1082.813 27765.801 Sept 2003 quantity produced/sold 1292 0 0 220000 439.038 7844.751 Oct 2003 quantity produced/sold 1292 0 0 150000 453.771 6102.149 Nov 2003 quantity produced/sold 1292 0 0 150000 335.794 5478.714 Dec 2003 quantity produced/sold 1292 0 0 350000 734.454 12089.055 Jan 2004 quantity produced/sold 1292 0 0 150000 328.196 4883.747 Feb 2004 quantity produced/sold 1292 0 0 200000 449.427 7388.137 March 2004 quantity produced/sold 1292 0 0 200000 430.619 7329.621 April 2004 quantity produced/sold 1292 0 0 150000 278.53 4714.11 Last price household received (ZMK/litre) 308 984 -8 not collected 0 100 4 120 1 150 15 200 16 240 1 250 15 300 16 350 1 400 9 450 3 500 20 600 5 700 2 750 2 800 8 1000 83 1200 10 1250 4 1300 5 1333 1 1400 3 1500 33 1550 1 1600 4 1650 1 1700 2 1800 9 2000 23 2150 1 2400 1 2500 6 3000 1 6000 1 8000 1 Sysmiss 984 Comments 21 0 CHECKED OK 2 checked 3 data ok 8 left as is 1 missing 1 no data entry error 1 not filled in 1 ok 3 quantity and not price recorded 1 Province 905 0 1 Central 105 2 Copperbelt 52 3 Eastern 221 4 Luapula 91 5 Lusaka 36 6 Northern 140 7 Nwestern 36 8 Southern 128 9 Western 96 District 905 0 101 Chibombo 22 102 Kabwe Urban 5 103 Kapiri Mposhi 28 104 Mkushi 9 105 Mumbwa 27 106 Serenje 14 201 Chililabombwe 8 202 Chingola 2 203 Kalulushi 2 204 Kitwe 1 205 Luanshya 6 206 Lufwanyama 14 207 Masaiti 4 208 Mpongwe 6 209 Mufulira 9 210 Ndola Urban 0 301 Chadiza 15 302 Chama 15 303 Chipata 51 304 Katete 35 305 Lundazi 39 306 Mambwe 8 307 Nyimba 8 308 Petauke 50 401 Chienge 3 402 Kawambwa 15 403 Mansa 20 404 Milenge 3 405 Mwense 23 406 Nchelenge 5 407 Samfya 22 501 Chongwe 15 502 Kafue 15 503 Luangwa 6 504 Lusaka Urban 0 601 Chilubi 11 602 Chinsali 11 603 Isoka 18 604 Kaputa 8 605 Kasama 10 606 Luwingu 12 607 Mbala 18 608 Mpika 21 609 Mporokoso 11 610 Mpulungu 4 611 Mungwi 11 612 Nakonde 5 701 Chavuma 10 702 Kabompo 4 703 Kasempa 4 704 Mufumbwe 2 705 Mwinilunga 3 706 Solwezi 11 707 Zambezi 2 801 Choma 19 802 Gwembe 5 803 Itezhi-tezhi 13 804 Kalomo 14 805 Kazungula 9 806 Livingstone 9 807 Mazabuka 16 808 Monze 21 809 Namwala 14 810 Siavonga 1 811 Sinazongwe 7 901 Kalabo 14 902 Kaoma 14 903 Lukulu 4 904 Mongu 31 905 Senanga 17 906 Sesheke 14 907 Shangombo 2 Census Supervisory Area 905 0 1 162 41.838 32.915 1st & 2nd digit of Standard Enumeration Area (SEA) 905 0 1 34 3.919 6.157 Household Number 905 0 1 297 54.149 45.317 Case ID 905 0 1 774 2 105 3 19 4 6 5 1 Member number 639 266 1 225 2 152 3 95 4 67 5 41 6 27 7 13 8 2 9 7 10 4 11 3 13 1 15 1 16 1 Sysmiss 266 Gender 905 0 -8 not collected 0 1 Male 453 2 Female 452 Year died 878 27 -8 not collected 0 1992 1 2001 156 2002 252 2003 359 2004 110 Sysmiss 27 Month died 877 28 -8 not collected 0 1 January 50 2 February 72 3 March 87 4 April 78 5 May 95 6 June 101 7 July 60 8 August 67 9 September 69 10 October 69 11 November 59 12 December 70 Sysmiss 28 Year born 905 0 -8 not collected 0 1902 1 1905 1 1910 2 1912 4 1913 4 1914 8 1915 1 1917 3 1918 9 1919 4 1920 17 1921 9 1922 4 1923 2 1924 15 1925 5 1926 10 1927 4 1928 8 1929 7 1930 14 1931 6 1932 10 1933 8 1934 8 1935 9 1936 12 1937 4 1938 13 1939 4 1940 20 1941 10 1942 12 1943 11 1944 8 1945 6 1946 11 1947 9 1948 13 1949 7 1950 9 1951 8 1952 15 1953 9 1954 8 1955 9 1956 10 1957 9 1958 13 1959 13 1960 19 1961 8 1962 12 1963 15 1964 17 1965 18 1966 12 1967 8 1968 29 1969 18 1970 17 1971 19 1972 24 1973 24 1974 28 1975 26 1976 21 1977 17 1978 19 1979 11 1980 19 1981 14 1982 20 1983 13 1984 11 1985 6 1986 10 1987 5 1988 5 1989 9 1990 7 1991 6 1992 2 Cause of death 875 30 -8 not collected 0 1 Pneumonia 24 2 Malaria 132 3 tb 102 4 Chronic diarrhea 53 5 Meningitis 20 6 Anemia 19 7 Fits 16 8 Mental illness 14 9 Heart disease 15 10 Chest pains 73 11 Stomach disease 77 12 Stroke 19 13 hiv/aids 24 14 Accident 29 15 Suicide 5 16 Murdered 10 17 Snake bite 4 18 Old age 50 19 Other sudden death within 4 days 66 20 Do not know 35 21 Other (specify) 24 22 Cancer 14 23 Diabetes 24 24 Yellow fever, typhoid, measles, cholera 2 25 Birth - miscarriage problems 5 26 Witchcraft 6 27 Syphilis, gonorrhea 3 28 Sores 5 29 Asthma 1 30 Bleeding 3 31 Alcohol 1 Sysmiss 30 Specify other (cause of death) 3 0 BODY PAIN 1 STI 1 not specified 1 Chronic diarrhea 700 205 -8 not collected 0 1 Yes 174 2 No 526 Sysmiss 205 Fever for at least 1 week 699 206 -8 not collected 0 1 Yes 375 2 No 324 Sysmiss 206 Substantial weight loss 699 206 -8 not collected 0 1 Yes 355 2 No 344 Sysmiss 206 Skin rash 699 206 -8 not collected 0 1 Yes 64 2 No 635 Sysmiss 206 Thrush, frothy mouth, mouth infection 699 206 -8 not collected 0 1 Yes 72 2 No 627 Sysmiss 206 Cough 699 206 -8 not collected 0 1 Yes 359 2 No 340 Sysmiss 206 Was person household head at time of death? 905 0 -8 not collected 0 1 Yes 244 2 No 661 Relationship to person who was head at time of death 661 244 -8 not collected 0 1 head 0 2 spouse 115 3 own child 257 4 step child 14 5 parent 61 6 brother/sister 77 7 nephew/niece 25 8 son/daughter-in-law 11 9 brother/sister-in-law 18 10 parent-in-law 23 11 grandchild 37 12 other relative 21 13 unrelated 2 Sysmiss 244 Relationship to current head of household 904 1 -8 not collected 0 1 head 0 2 spouse 278 3 own child 252 4 step child 13 5 parent 99 6 brother/sister 102 7 nephew/niece 26 8 son/daughter-in-law 13 9 brother/sister-in-law 23 10 parent-in-law 25 11 grandchild 42 12 other relative 26 13 unrelated 5 Sysmiss 1 Highest level of education completed 903 2 -8 not collected 0 0 None 274 1 Sub-standard A or B; Grade 1 16 2 Standard 1: Grade 2 50 3 Standard 2; Grade 3 36 4 Standard 3; Grade 4 57 5 Standard 4; Grade 5 43 6 Standard 5; Grade 6 92 7 Standard 6; Grade 7 148 8 Form 1; Grade 8 38 9 Form 2; Grade 9 56 10 Form 3; Grade 10 21 11 Form 4; Grade 11 13 12 Form 5; Grade 12 52 13 Form 6 Lower 1 14 Form 6 Upper 0 15 College Student 1 16 Undergraduate student 1 17 Certificate/Diploma 2 18 Bachelors Degree 2 19 Masters Degree & Above 0 Sysmiss 2 1 0 SAKAMEYA ROSA = HELEN KALEMA 1 Province 19332 0 1 Central 2240 2 Copperbelt 1180 3 Eastern 4464 4 Luapula 1780 5 Lusaka 636 6 Northern 3060 7 Nwestern 1184 8 Southern 2660 9 Western 2128 District 19332 0 101 Chibombo 548 102 Kabwe Urban 108 103 Kapiri Mposhi 420 104 Mkushi 268 105 Mumbwa 496 106 Serenje 400 201 Chililabombwe 124 202 Chingola 104 203 Kalulushi 76 204 Kitwe 104 205 Luanshya 84 206 Lufwanyama 248 207 Masaiti 144 208 Mpongwe 196 209 Mufulira 100 210 Ndola Urban 0 301 Chadiza 308 302 Chama 260 303 Chipata 1084 304 Katete 636 305 Lundazi 824 306 Mambwe 196 307 Nyimba 208 308 Petauke 948 401 Chienge 120 402 Kawambwa 340 403 Mansa 352 404 Milenge 100 405 Mwense 384 406 Nchelenge 216 407 Samfya 268 501 Chongwe 312 502 Kafue 208 503 Luangwa 116 504 Lusaka Urban 0 601 Chilubi 108 602 Chinsali 212 603 Isoka 404 604 Kaputa 184 605 Kasama 276 606 Luwingu 176 607 Mbala 404 608 Mpika 384 609 Mporokoso 248 610 Mpulungu 224 611 Mungwi 260 612 Nakonde 180 701 Chavuma 60 702 Kabompo 176 703 Kasempa 148 704 Mufumbwe 96 705 Mwinilunga 264 706 Solwezi 288 707 Zambezi 152 801 Choma 448 802 Gwembe 108 803 Itezhi-tezhi 164 804 Kalomo 424 805 Kazungula 152 806 Livingstone 80 807 Mazabuka 360 808 Monze 420 809 Namwala 172 810 Siavonga 120 811 Sinazongwe 212 901 Kalabo 212 902 Kaoma 440 903 Lukulu 280 904 Mongu 432 905 Senanga 312 906 Sesheke 280 907 Shangombo 172 Census Supervisory Area 19332 0 1 162 43.483 33.549 1st & 2nd digit of Standard Enumeration Area (SEA) 19332 0 1 34 3.689 5.726 Household Number 19332 0 1 794 53.987 46.089 Products obtained from maize grain 19332 0 1 Straight run (Mugaiwa) 4833 2 Refined meal (wetted, dehulled, w/o soaking,milled/pounded) 4833 3 Super refined meal (wetted,dehulled,soaked,milled/pounded) 4833 4 Samp (maize grits) 4833 Did you get this product between 5/03 and 4/04? 19331 1 1 Yes 7952 2 No 11379 Sysmiss 1 Which processing method was used most frequently? 7952 11380 -8 not collected 0 1 Hammer mill 5013 2 Home preparation, then hammer milled 929 3 Home processing by pounding 1851 4 Home processing by hand mill 159 Sysmiss 11380 Province 4175 0 1 Central 460 2 Copperbelt 255 3 Eastern 634 4 Luapula 530 5 Lusaka 139 6 Northern 721 7 Nwestern 210 8 Southern 668 9 Western 558 District 4175 0 101 Chibombo 103 102 Kabwe Urban 27 103 Kapiri Mposhi 104 104 Mkushi 80 105 Mumbwa 67 106 Serenje 79 201 Chililabombwe 20 202 Chingola 27 203 Kalulushi 17 204 Kitwe 35 205 Luanshya 14 206 Lufwanyama 37 207 Masaiti 35 208 Mpongwe 47 209 Mufulira 23 210 Ndola Urban 0 301 Chadiza 47 302 Chama 38 303 Chipata 214 304 Katete 66 305 Lundazi 127 306 Mambwe 29 307 Nyimba 11 308 Petauke 102 401 Chienge 13 402 Kawambwa 96 403 Mansa 115 404 Milenge 20 405 Mwense 93 406 Nchelenge 82 407 Samfya 111 501 Chongwe 64 502 Kafue 53 503 Luangwa 22 504 Lusaka Urban 0 601 Chilubi 49 602 Chinsali 54 603 Isoka 57 604 Kaputa 34 605 Kasama 66 606 Luwingu 51 607 Mbala 82 608 Mpika 65 609 Mporokoso 65 610 Mpulungu 74 611 Mungwi 93 612 Nakonde 31 701 Chavuma 10 702 Kabompo 17 703 Kasempa 23 704 Mufumbwe 14 705 Mwinilunga 54 706 Solwezi 68 707 Zambezi 24 801 Choma 104 802 Gwembe 34 803 Itezhi-tezhi 38 804 Kalomo 68 805 Kazungula 34 806 Livingstone 54 807 Mazabuka 82 808 Monze 95 809 Namwala 35 810 Siavonga 15 811 Sinazongwe 109 901 Kalabo 65 902 Kaoma 92 903 Lukulu 77 904 Mongu 131 905 Senanga 111 906 Sesheke 60 907 Shangombo 22 Census Supervisory Area 4175 0 1 162 41.089 31.831 1st & 2nd digit of Standard Enumeration Area (SEA) 4175 0 1 34 3.248 4.822 Household Number 4175 0 1 794 53.018 46.185 Product purchased/bartered in 4175 0 1 maize grain 2001 2 packaged roller meal 328 3 packaged breakfast meal 211 4 maize meal from grinding mill 124 5 millet 204 6 sorghum 56 7 rice 677 8 sweet potatoes 221 9 raw cassava 92 10 cassava chips 180 11 cassava flour 81 Did hh purchase/barter product for home consumption? 4175 0 1 Yes 4175 2 No 0 Quantity purchased/bartered from 5/03-12/03 4175 0 0 700 4.427 15.866 Unit of quantity purchased 5/03-12/03 3392 783 0 none 0 1 90kg bag 393 2 50kg bag 946 3 25kg bag 563 4 10kg bag 160 5 20lt tin 593 6 90kg bag unshelled 3 7 50kg bag unshelled 2 8 25kg bag unshelled 1 9 10kg bag unshelled 0 10 20lt tin unshelled 2 11 5lt gallon 176 12 meda 317 13 bunches 10 14 muchumbu 0 15 ka BP 72 16 crates 0 17 tonnes 0 18 boxes 0 19 number 1 20 kg 153 21 litre 0 Sysmiss 783 Conversion value 3392 783 0.44 103 35.98 30.127 Kgs purchased period 1 4175 0 0 5025 116.385 237.729 Price of last cash purchase (ZMK) 5/03-12/03 3379 796 -8 not collected 0 200 2 300 1 450 1 500 14 600 2 700 1 750 1 800 3 1000 124 1200 4 1250 2 1300 2 1400 2 1500 158 1600 1 1700 1 1800 13 2000 183 2100 2 2200 1 2400 2 2500 125 2600 2 2700 1 3000 89 3500 51 3900 1 4000 56 4500 12 4800 1 5000 125 5500 3 6000 72 6500 8 7000 53 7500 16 8000 89 8500 6 9000 19 9500 3 10000 216 10500 2 10800 1 11000 3 11500 3 12000 111 12500 7 13000 15 13500 2 14000 12 14500 1 15000 126 15500 1 15900 1 16000 20 16500 1 17000 9 17500 3 18000 47 18500 1 19000 5 19200 3 19500 1 20000 118 20750 1 21000 12 21500 2 22000 25 22500 2 23000 18 23300 1 24000 73 24500 2 25000 122 25500 1 26000 18 27000 20 27500 2 28000 33 28500 2 29000 19 29500 2 30000 322 31000 8 32000 29 32500 3 33000 15 34000 7 35000 103 36000 55 37000 7 37500 1 38000 11 39000 7 40000 70 42000 18 43000 3 44000 4 45000 64 46000 3 47000 3 48000 27 49000 1 50000 66 52000 1 52500 2 53000 1 54000 1 55000 9 56000 1 60000 89 62500 1 63000 2 64000 2 65000 7 66000 1 68000 2 70000 19 72000 9 75000 12 76000 1 78000 1 80000 15 85000 5 90000 17 92000 1 95000 6 96000 1 100000 10 102000 1 108000 1 110000 1 115000 2 120000 8 122500 1 130000 2 145000 2 150000 1 180000 1 Sysmiss 796 Unit of price purchased 5/03-12/03 3379 796 -8 not collected 0 0 none 0 1 90kg bag 364 2 50kg bag 794 3 25kg bag 520 4 10kg bag 147 5 20lt tin 524 6 90kg bag unshelled 1 7 50kg bag unshelled 2 8 25kg bag unshelled 1 9 10kg bag unshelled 1 10 20lt tin unshelled 4 11 5lt gallon 268 12 meda 483 13 bunches 13 14 muchumbu 0 15 ka BP 97 16 crates 0 17 tonnes 0 18 boxes 0 19 number 1 20 kg 159 21 litre 0 Sysmiss 796 Conversion value 3379 796 0.44 103 32.279 30.442 Most important supplier 5/03-12/03 3392 783 1 Trader 1950 2 Other households 1395 3 Government agency / FRA 11 4 NGO, e.g. church 8 5 Cooperative 14 6 Other (specify) 0 7 Commercial farm 3 8 Employer 7 9 Not specified 4 Sysmiss 783 Where did transaction take place (1/04-4/04)? 3392 783 1 within village 1801 2 within district (rural) 742 3 within district (urban) 677 4 other district (rural) 38 5 other district (urban) 114 6 another country 20 Sysmiss 783 Quantity purchased/bartered from 1/04-4/04 4175 0 0 300 2.282 7.358 Unit of quantity purchased 1/04-4/04 2284 1891 0 none 0 1 90kg bag 197 2 50kg bag 602 3 25kg bag 462 4 10kg bag 106 5 20lt tin 431 6 90kg bag unshelled 0 7 50kg bag unshelled 2 8 25kg bag unshelled 1 9 10kg bag unshelled 3 10 20lt tin unshelled 2 11 5lt gallon 124 12 meda 199 13 bunches 6 14 muchumbu 1 15 ka BP 57 16 crates 0 17 tonnes 0 18 boxes 0 19 number 0 20 kg 91 21 litre 0 Sysmiss 1891 Conversion value 2284 1891 0.44 103 33.283 28.077 Kgs purchased period 2 4175 0 0 2010 54.112 111.031 Price of last cash purchase (ZMK) 1/04-4/04 2276 1899 500 170000 20531.7 19460.998 Unit of price purchased 1/04-4/04 2276 1899 0 none 0 1 90kg bag 203 2 50kg bag 519 3 25kg bag 428 4 10kg bag 98 5 20lt tin 399 6 90kg bag unshelled 0 7 50kg bag unshelled 2 8 25kg bag unshelled 2 9 10kg bag unshelled 3 10 20lt tin unshelled 4 11 5lt gallon 166 12 meda 286 13 bunches 9 14 muchumbu 1 15 ka BP 72 16 crates 0 17 tonnes 0 18 boxes 0 19 number 0 20 kg 84 21 litre 0 Sysmiss 1899 Conversion value 2276 1899 0.44 180 31.903 30.29 Most important supplier 1/04-4/04 2284 1891 1 Trader 1338 2 Other households 915 3 Government agency / FRA 9 4 NGO, e.g. church 5 5 Cooperative 4 6 Other (specify) 0 7 Commercial farm 4 8 Employer 7 9 Not specified 2 Sysmiss 1891 Where did transaction take place (1/04-4/04)? 2284 1891 1 within village 1225 2 within district (rural) 441 3 within district (urban) 503 4 other district (rural) 29 5 other district (urban) 73 6 another country 13 Sysmiss 1891 Total kgs purchased for year 4175 0 0.5 5462.5 170.497 286.982 Expenditure for first period 4175 0 0 2800000 74425.802 146061.916 Expenditure for second period 4175 0 0 1250000 36198.139 73130.27 Total expenditure for year 4175 0 504.202 3687458.409 110623.941 184046.383 Comments 21 0 CHECKED 6 checked 11 checked price 1 data ok 3 Other specify supplier 24 0 EMPLOYER 7 FARM 1 HATCH THORMSON FARM 1 MADALA ESTATE 1 MARKET 3 MASULUSI 1 MOZAMBIQUE 3 NEIGBOUR 1 NOT SPECIFIED 4 OWNER OF GRINDING MI 1 PERSON 1 Other specify supplier 22 0 EMPLOYER 7 FARM 1 FARMER 1 HATCH THORMSON FARM 1 MADALA ESTATE 1 MARKET 3 MOZAMBIQUE 4 NOT SPECIFIED 2 OWNER GRINDING MILL 1 SHOP 1 Provincial or National median purch price first period (Kw/kg) 4175 0 84.034 2083.333 803.294 479.038 Provincial or National median purch price second period (Kw/kg) 4175 0 172.414 2000 768.765 390.523 Province 2944 0 1 Central 365 2 Copperbelt 166 3 Eastern 310 4 Luapula 462 5 Lusaka 121 6 Northern 715 7 Nwestern 159 8 Southern 387 9 Western 259 District 2944 0 101 Chibombo 73 102 Kabwe Urban 18 103 Kapiri Mposhi 107 104 Mkushi 49 105 Mumbwa 68 106 Serenje 50 201 Chililabombwe 13 202 Chingola 12 203 Kalulushi 13 204 Kitwe 36 205 Luanshya 15 206 Lufwanyama 14 207 Masaiti 25 208 Mpongwe 17 209 Mufulira 21 210 Ndola Urban 0 301 Chadiza 19 302 Chama 20 303 Chipata 89 304 Katete 31 305 Lundazi 54 306 Mambwe 25 307 Nyimba 15 308 Petauke 57 401 Chienge 44 402 Kawambwa 110 403 Mansa 85 404 Milenge 19 405 Mwense 54 406 Nchelenge 60 407 Samfya 90 501 Chongwe 50 502 Kafue 60 503 Luangwa 11 504 Lusaka Urban 0 601 Chilubi 44 602 Chinsali 60 603 Isoka 55 604 Kaputa 44 605 Kasama 50 606 Luwingu 49 607 Mbala 82 608 Mpika 87 609 Mporokoso 77 610 Mpulungu 71 611 Mungwi 63 612 Nakonde 33 701 Chavuma 1 702 Kabompo 12 703 Kasempa 34 704 Mufumbwe 10 705 Mwinilunga 33 706 Solwezi 55 707 Zambezi 14 801 Choma 76 802 Gwembe 8 803 Itezhi-tezhi 24 804 Kalomo 80 805 Kazungula 20 806 Livingstone 8 807 Mazabuka 43 808 Monze 83 809 Namwala 11 810 Siavonga 6 811 Sinazongwe 28 901 Kalabo 36 902 Kaoma 49 903 Lukulu 50 904 Mongu 49 905 Senanga 39 906 Sesheke 29 907 Shangombo 7 Census Supervisory Area 2944 0 1 162 39.76 30.424 1st & 2nd digit of Standard Enumeration Area (SEA) 2944 0 1 34 3.029 4.257 Household Number 2944 0 1 794 51.922 44.166 Case number 2944 0 1 1810 2 662 3 255 4 120 5 50 6 22 7 12 8 8 9 4 10 1 Relation to head of hh 2922 22 -8 not collected 0 1 head 0 2 spouse 0 3 own child 486 4 step child 19 5 parent 267 6 brother/sister 375 7 nephew/niece 240 8 son/daughter-in-law 176 9 brother/sister-in-law 215 10 parent-in-law 161 11 grandchild 50 12 other relative 279 13 unrelated 317 14 grz 11 15 NGO/church 326 Sysmiss 22 Where does non-member reside? 2944 0 1 within village 895 2 within district (rural) 698 3 within district (urban) 249 4 other district (rural) 299 5 other district (urban) 751 6 another country 52 Cash received from the household 1812 1132 100 2100000 102179.647 194623.649 Cash sent/given to the household 1214 1730 500 5000000 145036.656 327957.439 Comments 109 0 CHECKED 23 NOT DUP 4 QUESTIONNAIRE NOT FOUND 3 checked 42 checked for r03 and r04 3 checked for r03 and r04 and verified 1 checked ok second wife 1 1 indicated person who received amount 1 not collected 1 not dup 18 recorded name of mem who gave cash 1 recorded name of mem who received cash 1 the figures 50000 and 10000 are correct 1 verified 8 Province 1448 0 1 Central 153 2 Copperbelt 92 3 Eastern 192 4 Luapula 172 5 Lusaka 94 6 Northern 219 7 Nwestern 84 8 Southern 250 9 Western 192 District 1448 0 101 Chibombo 36 102 Kabwe Urban 8 103 Kapiri Mposhi 30 104 Mkushi 49 105 Mumbwa 10 106 Serenje 20 201 Chililabombwe 6 202 Chingola 12 203 Kalulushi 11 204 Kitwe 20 205 Luanshya 1 206 Lufwanyama 12 207 Masaiti 6 208 Mpongwe 17 209 Mufulira 7 210 Ndola Urban 0 301 Chadiza 10 302 Chama 12 303 Chipata 55 304 Katete 9 305 Lundazi 49 306 Mambwe 11 307 Nyimba 5 308 Petauke 41 401 Chienge 8 402 Kawambwa 55 403 Mansa 28 404 Milenge 11 405 Mwense 33 406 Nchelenge 12 407 Samfya 25 501 Chongwe 48 502 Kafue 37 503 Luangwa 9 504 Lusaka Urban 0 601 Chilubi 14 602 Chinsali 14 603 Isoka 11 604 Kaputa 6 605 Kasama 24 606 Luwingu 13 607 Mbala 19 608 Mpika 30 609 Mporokoso 20 610 Mpulungu 25 611 Mungwi 35 612 Nakonde 8 701 Chavuma 1 702 Kabompo 3 703 Kasempa 11 704 Mufumbwe 6 705 Mwinilunga 22 706 Solwezi 28 707 Zambezi 13 801 Choma 38 802 Gwembe 8 803 Itezhi-tezhi 11 804 Kalomo 50 805 Kazungula 7 806 Livingstone 12 807 Mazabuka 53 808 Monze 29 809 Namwala 15 810 Siavonga 0 811 Sinazongwe 27 901 Kalabo 21 902 Kaoma 35 903 Lukulu 19 904 Mongu 29 905 Senanga 23 906 Sesheke 34 907 Shangombo 31 Census Supervisory Area 1448 0 1 162 41.684 32.316 1st & 2nd digit of Standard Enumeration Area (SEA) 1448 0 1 34 3.463 5.322 Household Number 1448 0 1 368 50.472 41.524 Member number 1448 0 1 38 5.01 9.411 Activity 1448 0 1 on smallholder farm 375 2 on commercial farm 181 3 in a factory 12 4 in a mine 11 5 other industrial work 47 6 teacher 141 7 other civil servant 119 8 clerk 14 9 shop attendant 22 10 non-agricultural piece work 292 11 pension 112 12 other 122 Where was the activity carried out? 1448 0 1 within village 663 2 within district (rural) 503 3 within district (urban) 182 4 other district (rural) 27 5 other district (urban) 70 6 another country 3 May 2003 777 671 1500 2200000 268041.438 292474.983 June 2003 765 683 2000 2200000 265011.978 293012.559 July 2003 736 712 2000 2200000 268741.264 293254.817 August 2003 753 695 1000 2500000 267103.279 297135.207 September 2003 713 735 2000 9000000 294850.606 456625.374 October 2003 723 725 2000 15000000 298828.207 632601.407 November 2003 718 730 1600 3000000 278398.55 322543.282 December 2003 749 699 2000 3000000 270346.741 321491.28 January 2004 727 721 1500 8000000 287461.347 426559.417 February 2004 722 726 1500 3000000 277582.824 314320.751 March 2004 741 707 2000 5000000 285049.135 357470.256 April 2004 761 687 1500 10000000 311911.03 627981.74 In--kind wages, approximate cash value 1448 0 0 2400000 17705.249 103307.114 214 0 checked 214 Total wages 1448 0 1500 39000000 1741856.315 3175535.986 Province 8728 0 1 Central 1231 2 Copperbelt 717 3 Eastern 2150 4 Luapula 739 5 Lusaka 401 6 Northern 1223 7 Nwestern 295 8 Southern 1401 9 Western 571 District 8728 0 101 Chibombo 355 102 Kabwe Urban 80 103 Kapiri Mposhi 240 104 Mkushi 125 105 Mumbwa 293 106 Serenje 138 201 Chililabombwe 82 202 Chingola 90 203 Kalulushi 51 204 Kitwe 56 205 Luanshya 32 206 Lufwanyama 121 207 Masaiti 77 208 Mpongwe 122 209 Mufulira 86 210 Ndola Urban 0 301 Chadiza 132 302 Chama 124 303 Chipata 642 304 Katete 241 305 Lundazi 442 306 Mambwe 142 307 Nyimba 79 308 Petauke 348 401 Chienge 36 402 Kawambwa 135 403 Mansa 195 404 Milenge 47 405 Mwense 184 406 Nchelenge 52 407 Samfya 90 501 Chongwe 189 502 Kafue 122 503 Luangwa 90 504 Lusaka Urban 0 601 Chilubi 50 602 Chinsali 78 603 Isoka 152 604 Kaputa 27 605 Kasama 134 606 Luwingu 73 607 Mbala 133 608 Mpika 247 609 Mporokoso 91 610 Mpulungu 60 611 Mungwi 85 612 Nakonde 93 701 Chavuma 7 702 Kabompo 63 703 Kasempa 68 704 Mufumbwe 21 705 Mwinilunga 52 706 Solwezi 72 707 Zambezi 12 801 Choma 198 802 Gwembe 29 803 Itezhi-tezhi 108 804 Kalomo 259 805 Kazungula 99 806 Livingstone 28 807 Mazabuka 185 808 Monze 259 809 Namwala 99 810 Siavonga 66 811 Sinazongwe 71 901 Kalabo 88 902 Kaoma 114 903 Lukulu 37 904 Mongu 80 905 Senanga 131 906 Sesheke 102 907 Shangombo 19 Census Supervisory Area 8728 0 1 162 43.807 33.318 1st & 2nd digit of Standard Enumeration Area (SEA) 8728 0 1 34 3.581 5.607 Household Number 8728 0 1 538 52.574 45.361 Advice code 8728 0 1 Plant 20 kg/ha (or 5 kg/lima) of hybrid maize seed? 1561 2 Apply 4x4 bags/ha/(1x1 bags/lima) of basal/top dress fert 1595 3 Practicing minimum tillage (planting basins or ripping) 1558 4 Leave crop residues in the field 1904 5 Nitrogen-fixing crop rotation 2110 Have you ever received this advice? 8728 0 1 Yes 8728 2 No 0 Who was the most important supplier or organizer of this advice? 8727 1 -8 Not collected 0 1 MAFF Extension 4705 2 Rural Investment Fund (RIF) 215 3 scafe 65 4 Other MAFF agents 591 5 FRA cooperative 243 6 Lonhro/Dunavant 59 7 Clark Cotton 23 8 Amaka 30 9 Other outgrowers 90 10 Private dealers / transporters / traders 23 11 Commercial banks 2 12 CLUSA Group 814 13 znfu 96 14 care 191 15 World Vision 132 16 Economic Expansion in Outlying Area 14 17 Church based group 43 18 hodi 0 19 ICAZ (Institute of Cultural Affairs of Zambia) 1 20 Other NGOs 327 21 Locally organized group 95 22 Fellow farmers 943 23 Not applicable 25 Sysmiss 1 How did the household receive this advice? 8728 0 1 Informal conversation 2924 2 Radio programme 475 3 Pamphlet/ newspaper 63 4 Workshop 3109 5 Field day 1263 6 Demonstration plot 691 7 Other specify 0 8 Visit 16 9 Meeting 93 10 Training program 52 11 Not specified 42 Did you use this advice in the 02/03 agricultural season? 8728 0 1 Yes 5219 2 No 3509 Did you use this advice in the 03/04 agricultural season? 8668 60 -8 Not collected 0 1 Yes 5163 2 No 3505 3 Do not know 0 Sysmiss 60 Comments 25 0 checked 4 checked sr02=23 21 242 0 -8 13 AGRICULTURAL OFFICER 3 CIRCULATING MACO's 2 CLUB 5 COLLEGE 33 COMMITTE 4 COPYING FROM OTHERS 1 DOOR TO DOOR 5 EMPLOYER 5 EXTENSION OFFICER 2 FARMER'S HOUSE 4 FELLOW FARMER 4 FELLOW FARMERS 8 FRIENDS 3 FROM FOREFATHERS 1 FROM SCHOOL 1 GRAND PARENTS 1 HAD A MEETING 2 MEETING 67 MEETING EXT. OFFICER 1 MEETINGS 10 NOT SPECIFIED 8 Not specified 21 OTHER HOUSEHOLD 2 PARENTS 6 TRAINED BY RIF 5 TRAINED IN AGRICULT. 5 VERBAL INFORMATION 1 VISIT 10 VISITED BY MAFF 1 ZNFU 3 group visits 5 Province 11894 0 1 Central 1453 2 Copperbelt 666 3 Eastern 2857 4 Luapula 863 5 Lusaka 289 6 Northern 2956 7 Nwestern 598 8 Southern 1340 9 Western 872 District 11894 0 101 Chibombo 351 102 Kabwe Urban 64 103 Kapiri Mposhi 263 104 Mkushi 182 105 Mumbwa 290 106 Serenje 303 201 Chililabombwe 69 202 Chingola 57 203 Kalulushi 47 204 Kitwe 44 205 Luanshya 47 206 Lufwanyama 122 207 Masaiti 81 208 Mpongwe 140 209 Mufulira 59 210 Ndola Urban 0 301 Chadiza 222 302 Chama 189 303 Chipata 710 304 Katete 415 305 Lundazi 562 306 Mambwe 151 307 Nyimba 113 308 Petauke 495 401 Chienge 55 402 Kawambwa 207 403 Mansa 196 404 Milenge 71 405 Mwense 189 406 Nchelenge 50 407 Samfya 95 501 Chongwe 159 502 Kafue 85 503 Luangwa 45 504 Lusaka Urban 0 601 Chilubi 67 602 Chinsali 311 603 Isoka 364 604 Kaputa 99 605 Kasama 287 606 Luwingu 162 607 Mbala 372 608 Mpika 440 609 Mporokoso 252 610 Mpulungu 190 611 Mungwi 217 612 Nakonde 195 701 Chavuma 24 702 Kabompo 60 703 Kasempa 102 704 Mufumbwe 46 705 Mwinilunga 161 706 Solwezi 169 707 Zambezi 36 801 Choma 239 802 Gwembe 62 803 Itezhi-tezhi 60 804 Kalomo 248 805 Kazungula 83 806 Livingstone 26 807 Mazabuka 149 808 Monze 247 809 Namwala 99 810 Siavonga 40 811 Sinazongwe 87 901 Kalabo 122 902 Kaoma 167 903 Lukulu 75 904 Mongu 135 905 Senanga 141 906 Sesheke 143 907 Shangombo 89 Census Supervisory Area 11894 0 1 162 43.546 33.054 1st & 2nd digit of Standard Enumeration Area (SEA) 11894 0 1 34 3.721 5.782 Household Number 11894 0 1 794 52.634 43.735 Crop code 11894 0 1 Maize 4338 2 Sorghum 520 3 Rice 219 4 Millet 944 5 Sunflower 316 6 Groundnuts 2422 7 Soyabeans 189 8 Seed cotton 618 9 Irish potato 37 10 Virginia tobacco 4 11 Burley tobacco 86 12 Mixed beans 863 13 Ground beans 117 14 Cowpeas 156 15 Velvet beans 20 16 Coffee 5 17 Sweet potato 1007 18 Cassava 0 19 Kenaf 0 20 Cashew nut 0 21 Other crops (specify) 0 22 Paprika 16 60 Popcorn 7 61 Sugarcane 6 62 Sugar beans 1 63 Green gum 1 64 Guine peas 1 65 Not specified 1 Since May 2003 did hh sell/exchange crop? 11893 1 -8 not collected 0 1 Yes 5319 2 No 6574 Sysmiss 1 Quantity sold / bartered 5318 6576 -8 not collected 0 0.5 1 0.75 1 1 800 1.12 1 1.25 1 1.5 22 2 809 2.5 12 2.7 1 2.75 1 3 504 3.16 1 3.41 1 3.5 4 4 404 4.4 1 5 307 5.18 1 5.5 1 6 218 7 103 8 137 9 51 10 249 11 29 12 90 13 23 14 27 14.4 1 15 114 16 18 17 10 18 22 19 5 20 156 21 12 21.5 1 22 10 23 7 24 10 25 48 26 3 27 6 28 7 28.8 1 29 1 30 77 31 2 32 6 33 4 34 4 35 14 36 6 37 3 38 3 39 1 40 33 42 3 44 1 45 15 46 1 47 1 48 3 50 44 51 2 52 2 53 1 55 3 56 1 58 1 58.7 1 59 2 60 26 62 2 63 1 64 1 65 5 67 1 68 2 70 9 73 2 74 1 75 3 76 1 78 1 79 2 80 14 83 2 84 2 85 7 86 3 89 2 90 8 91 1 93 1 96 2 98 1 100 17 102 1 103 1 105 3 108 1 109 1 114 1 120 6 130 3 134 1 137 1 140 3 144 3 145 1 150 16 151 1 152 1 155 2 160 2 165 2 166 1 167 2 170 4 172 1 175 3 179 1 180 7 183 1 185 2 190 1 194 1 200 12 204 1 207 2 210 3 214 1 215 2 220 1 222 1 225 1 230 1 234 1 235 1 236 1 240 6 246 1 247 1 249 1 250 8 251 1 255 3 260 2 262 1 270 4 272 2 273 1 280 4 283 1 285 3 288 1 300 13 311 1 313 1 315 1 319 3 320 10 325 1 328 2 330 4 340 2 345 2 347 1 350 5 352 1 356 1 360 3 365 1 368 1 370 2 375 1 378 1 380 4 384 1 394 1 397 1 400 23 405 1 410 1 420 7 425 2 435 1 450 15 452 1 456 1 459 1 460 4 462 2 465 1 469 1 470 3 475 3 480 6 486 1 490 2 491 1 500 18 501 1 503 1 510 5 515 1 520 2 521 1 524 2 525 3 534 3 540 9 550 5 560 5 564 3 570 3 581 1 585 1 588 1 597 1 598 1 600 20 608 1 609 1 611 2 612 1 615 1 620 2 622 1 630 7 640 4 650 3 654 1 655 1 660 3 662 1 665 1 669 1 672 1 679 1 680 5 696 1 697 1 700 9 705 1 707 1 714 1 720 10 727 1 730 1 737 1 740 1 742 1 747 1 750 4 752 1 765 2 780 2 800 11 807 1 810 2 825 1 828 1 829 1 830 2 850 3 860 3 872 1 875 2 880 3 886 1 890 1 891 1 895 1 900 16 918 1 930 1 935 2 951 1 960 1 980 1 990 4 1000 19 1012 1 1020 2 1040 1 1050 5 1080 3 1092 1 1100 4 1110 1 1120 1 1125 1 1140 1 1155 1 1170 4 1189 1 1190 1 1200 13 1207 1 1235 1 1250 3 1260 3 1275 2 1280 3 1300 1 1340 1 1350 7 1360 2 1377 1 1382 1 1395 1 1400 5 1420 1 1440 1 1445 1 1450 1 1475 1 1480 1 1500 15 1515 1 1530 3 1540 1 1575 1 1584 1 1600 8 1620 1 1650 1 1680 1 1700 4 1730 1 1750 1 1800 6 1803 1 1820 1 1840 1 1872 1 1890 1 1900 2 1950 1 2000 7 2100 2 2184 1 2200 2 2243 1 2250 1 2280 1 2300 1 2340 1 2375 1 2400 3 2500 4 2509 1 2535 1 2550 2 2635 1 2700 1 2720 1 2880 1 2925 1 2975 1 3000 3 3120 1 3200 1 3250 1 3325 1 3480 1 3500 2 3600 2 3690 1 3920 1 3922 1 4000 1 4120 1 4140 1 4188 1 4250 1 4361 1 4400 1 4450 1 4800 1 5075 1 5450 1 5600 2 6000 2 6060 1 6100 1 6400 1 7200 1 7480 1 8415 1 8650 1 8666 1 12400 1 18272 1 Sysmiss 6576 Unit of quantity sold / bartered 5319 6575 0 none 0 1 90kg bag 858 2 50kg bag 1805 3 25kg bag 290 4 10kg bag 19 5 20lt tin 668 6 90kg bag unshelled 244 7 50kg bag unshelled 333 8 25kg bag unshelled 24 9 10kg bag unshelled 3 10 20lt tin unshelled 22 11 5lt gallon 138 12 meda 206 13 bunches 0 14 muchumbu 1 15 ka BP 11 16 crates 0 17 tonnes 5 18 boxes 0 19 number 2 20 kg 690 21 litre 0 Sysmiss 6575 Final conversion value 5319 6575 0.5 1000 41.228 43.664 Total kgs sold 5318 6576 0.5 727000 987.893 14018.655 What year did the hh sell, largest transaction? 5319 6575 2002 54 2003 4936 2004 329 Sysmiss 6575 What month did the hh sell, largest transaction? 5319 6575 1 January 197 2 February 121 3 March 117 4 April 126 5 May 292 6 June 914 7 July 846 8 August 814 9 September 436 10 October 638 11 November 373 12 December 445 Sysmiss 6575 Type of buyer for largest transaction 5319 6575 1 Trader 3375 2 Other households 1063 3 Government agency / FRA 85 4 ngo 63 5 Cooperative Union 55 6 Outgrower 609 7 Other (specify) 69 Sysmiss 6575 Buyer -specify other 66 0 -8 22 AMANITA 1 BOARDING SCHOOL 1 CHEATER 1 CHISAMBA MILLING 1 CONTINENTAL GINNERY 1 CONTINENTAL TEXTILES 1 CROP VENDORS 1 DUNAVANT 1 INDEPENDENT BUYER 3 KALEN HOSPITAL 1 LUSAKA 1 MANSA MILLING 1 MARKET 1 MILLER 5 MILLING 1 MILLING COMPANY 1 MOOMBA ENTERPRISE 1 MWELA'S SHOP 1 NAMWIANGA MISSION 1 NAMWIANGA SEC. SCH. 1 NGO 1 NOT SPECIFIED 2 OUT GROWER 1 PEOPLE FROM WITHIN 1 POOR SOIL 1 Refugees 2 SCHOOL 2 SIMBA MILLING 2 SOLD AT THE MARKET 1 SOLD MAZIE TO OMNIA 1 SOLD TO BREWERIES 1 SOME PEOPLE WITHIN 2 STANCOM 1 Where did the transaction take place? 5318 6576 -8 not collected 0 1 Within village 3843 2 Within district (rural) 570 3 Within district (urban) 613 4 Other district (rural) 44 5 Other district (urban) 209 6 Another country 39 Sysmiss 6576 How far was the location from your homestead (km)? 5312 6582 -8 not collected 0 0 3218 0.01 2 0.02 2 0.03 1 0.04 1 0.05 2 0.08 2 0.1 17 0.12 1 0.15 1 0.2 19 0.25 2 0.3 9 0.4 4 0.5 87 0.6 1 0.64 1 0.7 1 0.8 6 0.9 5 1 476 1.4 1 1.5 31 1.6 3 2 150 2.5 9 3 98 3.2 6 3.5 3 3.9 2 4 56 4.5 1 4.8 1 5 88 6 40 6.4 1 7 53 7.2 2 7.5 2 8 68 9 21 10 65 11 18 12 56 12.5 2 13 10 13.5 1 14 11 14.4 1 15 69 16 16 17 14 17.5 1 17.6 1 18 33 19 6 19.2 1 20 75 21 7 22 12 23 3 24 14 25 32 26 4 27 6 28 10 29 5 30 55 31 1 32 5 33 1 33.5 2 34 10 35 23 36 8 37 5 38 4 39 3 40 31 41 5 42 3 45 24 46 3 47 3 48 4 50 22 52 1 53 1 55 2 56 1 58 2 60 14 62 1 64 5 65 4 67 4 68 8 69 1 70 17 71 2 72 2 73 1 74 3 75 2 76 2 80 4 82 3 83 1 85 5 85.7 1 89 5 90 6 91 2 93 1 95 2 96 1 99 29 Sysmiss 6582 Price per unit for largest cash transaction (ZMK) 5283 6611 0 bartered 0 5 1 15 1 200 1 230 1 250 3 300 5 350 2 400 2 480 1 500 20 520 1 550 3 560 1 600 6 620 3 680 1 700 7 720 1 750 1 775 1 800 15 820 5 830 1 840 4 850 11 860 4 900 9 920 2 925 1 940 1 950 5 960 2 980 1 990 1 1000 113 1020 1 1050 2 1080 4 1100 6 1120 4 1125 4 1130 2 1134 1 1140 2 1150 5 1170 1 1190 1 1200 99 1215 1 1220 75 1222 4 1225 95 1230 5 1240 2 1250 58 1260 2 1270 3 1280 2 1299 1 1300 39 1320 6 1330 3 1350 17 1360 4 1370 1 1380 1 1388 1 1400 25 1410 1 1420 6 1430 1 1450 1 1500 139 1520 2 1600 5 1620 1 1650 4 1700 2 1720 1 1800 6 1830 1 1880 1 1900 2 2000 140 2100 1 2200 2 2300 1 2400 3 2500 156 2600 1 2700 2 2800 4 3000 152 3500 73 3600 1 3680 1 4000 88 4100 1 4200 1 4500 34 4800 3 4900 1 5000 306 5400 1 5500 10 5600 1 6000 205 6500 23 6800 2 7000 105 7350 1 7500 26 8000 137 8500 7 9000 32 9500 2 10000 235 10500 3 11000 5 11500 1 12000 99 12500 15 13000 13 13500 4 14000 15 14400 1 14500 2 15000 159 15500 1 15600 1 16000 21 16500 3 17000 11 17500 5 18000 75 18500 1 19000 5 19200 1 19500 1 20000 223 21000 10 22000 19 22500 6 22750 1 23000 8 24000 111 24500 1 25000 212 25400 1 25500 2 26000 19 26250 1 26500 3 27000 22 28000 30 29000 3 30000 438 31500 1 32000 32 32500 3 33000 2 34000 5 34500 1 35000 107 36000 105 37000 6 37500 7 38000 16 39000 3 40000 137 40500 1 42000 26 43000 2 43200 1 44000 1 45000 65 46000 5 48000 46 49000 3 49500 1 50000 108 52000 5 52200 1 54000 8 55000 12 56000 2 58000 1 60000 121 63000 1 64000 1 65000 16 66000 1 67000 1 68000 3 70000 17 72000 16 75000 16 78000 3 79000 1 80000 22 80600 1 81000 2 82000 1 85000 6 90000 23 92000 1 95000 1 96000 2 99000 1 100000 31 104000 1 108000 6 114000 1 120000 32 124000 1 125000 2 127600 1 130000 2 132000 2 140000 12 144000 1 150000 2 160000 2 165000 1 168000 1 170000 1 180000 7 190000 1 192000 1 200000 4 210000 1 216000 1 240000 1 250000 1 Sysmiss 6611 Unit of price 5318 6576 0 none 34 1 90kg bag 504 2 50kg bag 1381 3 25kg bag 278 4 10kg bag 24 5 20lt tin 501 6 90kg bag unshelled 173 7 50kg bag unshelled 249 8 25kg bag unshelled 10 9 10kg bag unshelled 3 10 20lt tin unshelled 17 11 5lt gallon 442 12 meda 849 13 bunches 6 14 muchumbu 0 15 ka BP 51 16 crates 1 17 tonnes 2 18 boxes 1 19 number 5 20 kg 787 21 litre 0 Sysmiss 6576 Final conversion value 5284 6610 0.01 1000 29.494 35.615 Did hh have last season's crop in storage? 11769 125 -8 not collected 0 1 Yes 3257 2 No 8512 Sysmiss 125 Quantity in storage 3273 8621 -8 not collected 0 0.2 2 0.25 2 0.3 2 0.5 19 0.6 2 1 1181 1.1 1 1.5 16 1.51 1 2 736 2.136 1 2.5 6 2.6 1 2.76 1 3 410 3.5 1 4 228 5 189 5.5 1 6 100 7 36 8 50 9 17 10 97 11 7 12 23 13 4 14 5 15 27 16 7 17 1 18 8 19 1 20 29 22 1 23 1 24 6 25 8 30 8 32 2 35 3 36 2 38 1 40 2 43 1 44 1 45 1 46 1 50 7 54 1 56 1 60 4 100 2 120 2 300 1 400 1 500 1 540 1 600 1 1300 1 Sysmiss 8621 Unit of quantity in storage 3271 8623 -8 not collected 0 0 none 0 1 90kg bag 563 2 50kg bag 1302 3 25kg bag 142 4 10kg bag 39 5 20lt tin 486 6 90kg bag unshelled 101 7 50kg bag unshelled 162 8 25kg bag unshelled 31 9 10kg bag unshelled 4 10 20lt tin unshelled 28 11 5lt gallon 158 12 meda 203 13 bunches 0 14 muchumbu 0 15 ka BP 14 16 crates 0 17 tonnes 0 18 boxes 0 19 number 1 20 kg 37 21 litre 0 Sysmiss 8623 Final conversion value 3269 8625 0.5 108 45.124 31.627 Total kgs stored 3269 8625 0.25 6030 187.862 386.092 Year stocks ran out from own production 7738 4156 -8 not collected 0 2002 36 2003 5254 2004 2448 Sysmiss 4156 Month stocks ran out from own production 7738 4156 -8 not collected 0 1 January 920 2 February 853 3 March 793 4 April 190 5 May 223 6 June 357 7 July 394 8 August 591 9 September 490 10 October 748 11 November 782 12 December 1397 Sysmiss 4156 Provincial or National median crop price (Kw/kg) 11891 3 144.928 4500 838.371 550.87 Comments 30 0 CHECKED 1 Not dup 9 changed unit code 1 checked 4 combined 3 meda + 2 90kg bags 1 missing quesionnaire 1 month correctly entered 1 not a dup 12 Other crop specify 17 0 -8 1 GREEN GUM 1 Guine beans 1 POPCORN 7 SMALL SORGHUM 1 SUGAR BEANS 1 SUGAR CANE 4 sugar cane 1 Province 1974 0 1 Central 246 2 Copperbelt 198 3 Eastern 461 4 Luapula 151 5 Lusaka 132 6 Northern 307 7 Nwestern 86 8 Southern 321 9 Western 72 District 1974 0 101 Chibombo 89 102 Kabwe Urban 12 103 Kapiri Mposhi 23 104 Mkushi 33 105 Mumbwa 50 106 Serenje 39 201 Chililabombwe 10 202 Chingola 28 203 Kalulushi 9 204 Kitwe 7 205 Luanshya 18 206 Lufwanyama 14 207 Masaiti 49 208 Mpongwe 23 209 Mufulira 40 210 Ndola Urban 0 301 Chadiza 28 302 Chama 9 303 Chipata 193 304 Katete 60 305 Lundazi 62 306 Mambwe 18 307 Nyimba 8 308 Petauke 83 401 Chienge 7 402 Kawambwa 27 403 Mansa 43 404 Milenge 21 405 Mwense 37 406 Nchelenge 6 407 Samfya 10 501 Chongwe 66 502 Kafue 54 503 Luangwa 12 504 Lusaka Urban 0 601 Chilubi 9 602 Chinsali 32 603 Isoka 35 604 Kaputa 9 605 Kasama 35 606 Luwingu 27 607 Mbala 45 608 Mpika 44 609 Mporokoso 16 610 Mpulungu 27 611 Mungwi 2 612 Nakonde 26 701 Chavuma 1 702 Kabompo 1 703 Kasempa 18 704 Mufumbwe 4 705 Mwinilunga 25 706 Solwezi 21 707 Zambezi 16 801 Choma 74 802 Gwembe 1 803 Itezhi-tezhi 9 804 Kalomo 81 805 Kazungula 23 806 Livingstone 14 807 Mazabuka 23 808 Monze 22 809 Namwala 20 810 Siavonga 2 811 Sinazongwe 52 901 Kalabo 3 902 Kaoma 11 903 Lukulu 8 904 Mongu 5 905 Senanga 15 906 Sesheke 30 907 Shangombo 0 Census Supervisory Area 1974 0 1 162 49.416 39.343 1st & 2nd digit of Standard Enumeration Area (SEA) 1974 0 1 34 3.789 5.676 Household Number 1974 0 1 258 50.428 40.63 Vegetable - Fruit code 1974 0 23 Oranges 38 24 Bananas 112 25 Pineapple 1 26 Guavas 16 27 Paw paws 11 28 Avocado 2 29 Watermelon 8 30 Mangoes 30 31 Other fruit 62 32 Cabbage 263 33 Rape 566 34 Spinach 10 35 Tomato 444 36 Onion 132 37 Okra 19 38 Eggplant 36 39 Pumpkin 11 40 Chilies 5 41 Chomoli 10 42 Cauliflower 1 43 Carrots 3 44 Lettuce 0 45 Green beans 17 46 Green maize 26 47 Other vegetables 148 48 Tangerines 3 How many months in last 12 months did you sell vegetables/fruits? 1974 0 1 563 2 483 3 411 4 186 5 112 6 113 7 33 8 26 9 6 10 10 11 2 12 29 What was the average value of sales per month? 1974 0 1000 15000000 107593.465 430065.102 Comments 54 0 CHECKED 22 CHECKED OK 2 NOT DUP 1 NOT DUP (CHECKED OK) 1 Not dup 7 checked 14 not dup 7 province 190 0 1 central 21 2 copperbelt 21 3 eastern 21 4 luapula 21 5 lusaka 21 6 northern 21 7 nwestern 21 8 southern 22 9 western 21 crop code 190 0 1 maize 9 2 sorghum 9 3 rice 9 4 millet 9 5 sunflower 9 6 groundnuts 9 7 soyabeans 9 8 seed cotton 9 9 irish potato 9 10 virginia tobacco 9 11 burley tobacco 9 12 mixed beans 9 13 ground beans 9 14 cowpeas 9 15 velvet beans 9 16 coffee 9 17 sweet potato 9 18 cassava 9 19 kenaf 0 20 cashew nut 0 21 other crops (specify) 0 22 paprika 9 60 popcorn 9 61 sugarcane 9 62 sugar beans 0 63 green gum 1 64 guine peas 0 65 not specified 0 n observations of crop sales at province level 190 0 0 401 31.1 69.241 provincial median price (kw/kg) 190 0 0 20000 814.589 1755.08 national median price (kw/kg) 190 0 191.388 4500 1153.023 1031.65 provincial or national median crop price (kw/kg) 190 0 144.928 4500 1157.568 1030.475 crop 259 0 1 maize 14 2 sorghum 14 3 rice 15 4 millet 14 5 sunflower 11 6 groundnuts 20 7 soyabeans 14 8 seed cotton 10 9 irish potatoes 14 10 virginia tobacco 6 11 burley tobacco 7 12 mixed beans 14 13 bambara nuts 14 14 cowpeas 15 15 velvet beans 10 16 coffee 5 17 sweet potatoes 18 18 raw cassava 11 19 kenaf 0 20 cashew nut 1 21 other crops 0 22 paprika 7 60 popcorn 4 61 sugarcane 4 62 sugar beans 1 63 green gum 2 64 guine peas 1 65 not specified 0 80 cassava flour 7 81 cassava chips 6 unit code 259 0 1 90kg bag 24 2 50kg bag 22 3 25kg bag 22 4 10kg bag 16 5 20lt tin 19 6 90kg bag unshelled 13 7 50kg bag unshelled 14 8 25kg bag unshelled 10 9 10kg bag unshelled 9 10 20lt tin unshelled 13 11 5lt gallon 17 12 meda 17 13 bunches 7 14 muchumbu 4 15 ka b.p 14 16 crates 3 17 tonnes 4 18 boxes 2 19 number 3 20 kg 20 21 cup 4 22 meda unshelled 1 23 ka bp unshelled 1 final conversion value 259 0 0.01 1000 37.338 123.733 measured mean value 96 163 0.05 104.75 20.278 25.83 measure median value 96 163 0.05 100.5 20.073 25.662 number of cases 96 163 1 29 6.781 5.565 fsrp conversion value 233 26 0.01 1000 42.311 130.507 cso conversion value 124 135 0.571 1000 40.127 126.626 128 0 ??? 1 extrapolated - per J. Nijhoff 1 extrapolated from 20 lt tin per J. Nijhoff 1 not valid 1 per J. Nijhoff 7 per Mr. Nyasulu 106 per Mr. Nyasulu - same as shelled 8 ratio 46/50 = .92, .92*90=82.8 1 raw 2 Province 9 0 1 Central 1 2 Copperbelt 1 3 Eastern 1 4 Luapula 1 5 Lusaka 1 6 Northern 1 7 Nwestern 1 8 Southern 1 9 Western 1 Median price of 50 kg bag basal fertilizer 9 0 48500 87000 71500 11429.129 Median price of 50 kg bag top dressing fertilizer 9 0 51000 90000 73666.667 11694.016 Median price of transport of 50 kg bag 9 0 3500 5000 4555.556 583.333 9 0 970 1740 1430 228.583 9 0 1020 1800 1473.333 233.88 9 0 70 100 91.111 11.667 province 161 0 1 central 23 2 copperbelt 13 3 eastern 15 4 luapula 19 5 lusaka 15 6 northern 22 7 nwestern 18 8 southern 20 9 western 16 commodity sent/received 161 0 0 none 0 1 maize grain 9 2 mealie meal 9 3 cassava tubers 9 4 cassava flour or chips 7 5 sorghum grain or flour 9 6 sweet potato 9 7 cooking oil 9 8 rice 9 9 beans 9 10 soya 4 11 kapenta 7 12 wheat 7 13 groundnuts 9 14 seed 0 15 fertilizer 0 16 cassava cuttings 0 17 other planting materials 0 18 implements 0 19 sweet potato vines 0 20 clothing/salaula 0 21 animals 0 22 beddings 0 23 other (specify) 0 24 housewares 0 25 bicycle 0 26 bread 3 27 fish 7 28 millet 5 29 soap 0 30 salt 8 31 sugar 7 32 charcoal 0 33 cowpeas 0 34 fruit 0 35 vegetables 4 36 clocks/radios 0 37 meat 3 38 money 0 39 groceries 1 40 vehicles / parts for vehicles 0 41 sunflowers 0 42 sugar cane 1 43 milk 1 44 fishing nets 0 46 other miscellaneous 0 47 not specified 0 48 bananas 2 49 oranges 2 50 tomatoes 2 51 pawpaw 1 52 guava 1 53 mangos 1 54 pumpkins 4 55 rape 2 provincial or national median food aid price (kw/kg) 161 0 98.039 50000 2352.407 4487.674 commodity sent/received 218 0 0 none 0 1 maize grain 14 2 mealie meal 10 3 cassava tubers 9 4 cassava flour or chips 12 5 sorghum grain or flour 11 6 sweet potato 16 7 cooking oil 3 8 rice 12 9 beans 12 10 soya 6 11 kapenta 11 12 wheat 11 13 groundnuts 16 14 seed 0 15 fertilizer 0 16 cassava cuttings 0 17 other planting materials 0 18 implements 0 19 sweet potato vines 0 20 clothing/salaula 0 21 animals 0 22 beddings 0 23 other (specify) 0 24 housewares 0 25 bicycle 0 26 bread 3 27 fish 12 28 millet 11 29 soap 0 30 salt 7 31 sugar 4 32 charcoal 0 33 cowpeas 1 34 fruit 5 35 vegetables 9 36 clocks/radios 0 37 meat 2 38 money 0 39 groceries 1 40 vehicles / parts for vehicles 0 41 sunflowers 0 42 sugar cane 1 43 milk 1 44 fishing nets 1 45 cooking oil 0 46 other miscellaneous 0 47 not specified 0 48 bananas 2 49 oranges 4 50 tomatoes 3 51 pawpaw 1 52 guava 1 53 mangos 1 54 pumpkins 4 55 rape 1 unit for quantity sent/received, food item 218 0 0 none 0 1 90kg bag 16 2 50kg bag 21 3 25kg bag 18 4 10kg bag 20 5 20lt tin 13 6 90kg bag unshelled 2 7 50kg bag unshelled 8 8 25kg bag unshelled 3 9 10kg bag unshelled 5 10 20lt tin unshelled 9 11 5lt gallon 18 12 meda 18 13 bunches 12 14 muchumbu 5 15 ka bp 13 16 crates 1 17 tonnes 0 18 boxes 2 19 number 12 20 kilogram 20 21 litres 2 218 0 0.15 120 18.641 26.211 unit of measurement of area 4 0 1 limas 1 2 acres 1 3 hectares 1 4 metres square 1 conversion value to hectares 4 0 0.0001 1 0.414 0.425 province 135 0 1 central 15 2 copperbelt 15 3 eastern 15 4 luapula 15 5 lusaka 15 6 northern 15 7 nwestern 15 8 southern 15 9 western 15 livestock owned 135 0 1 cattle 0 2 cows 9 3 heifers 9 4 bulls 9 5 untrained oxen 9 6 trained oxen 9 7 steers / tollies 9 8 calves 9 9 pigs 9 10 goats 9 11 sheep 9 12 donkeys 9 13 chickens 9 14 guinea fowls 9 15 ducks & geese 9 16 rabbits 9 province median price 98 37 4000 1200000 288744.898 319815.526 number of observations at provincial level 135 0 0 306 22.748 53.53 national median price 135 0 4000 800000 265022.222 276213.806 number of observations at national level 135 0 1 1618 204.733 405.823 livestock price - median 135 0 4000 1000000 262649.383 275190.715 Province 45 0 1 Central 5 2 Copperbelt 5 3 Eastern 5 4 Luapula 5 5 Lusaka 5 6 Northern 5 7 Nwestern 5 8 Southern 5 9 Western 5 Milk/egg/fish production 45 0 1 milk produced/month (liters) 9 2 fresh milk sold/bartered / month (liters) 9 3 sour milk sold/bartered / month (liters) 9 4 eggs produced/month (number) 9 5 eggs sold / month (number) 9 6 revenue received from selling fish 0 7 value of fish consumed by hh if fish were sold 0 Median price per kg 45 0 200 1316.5 765.178 438.981 product purchased 139 0 1 maize grain 15 2 packaged roller meal 9 3 packaged breakfast meal 10 4 maize meal from grinding mill 13 5 millet 12 6 sorghum 13 7 rice 14 8 sweet potatoes 16 9 raw cassava 13 10 cassava chips 13 11 cassava flour 11 unit of product 139 0 -2 do not know 0 0 none 0 1 90 kg bag 11 2 50 kg bag 11 3 25 kg bag 11 4 10 kg bag 11 5 20 lt tin 11 6 90 kg bag unshelled 4 7 50 kg bag unshelled 4 8 25 kg bag unshelled 3 9 10 kg bag unshelled 6 10 20 lt tin unshelled 9 11 5 lt gallon 11 12 meda 11 13 bunches 2 14 muchumbu 5 15 ka b.p. 11 16 crates 2 17 tonnes 0 18 boxes 2 19 number 3 20 kg 11 conversion value 138 1 0.44 103 20.861 27.01 province 93 0 1 central 11 2 copperbelt 9 3 eastern 11 4 luapula 11 5 lusaka 7 6 northern 11 7 nwestern 11 8 southern 11 9 western 11 product purchased/bartered in 93 0 1 maize grain 9 2 packaged roller meal 9 3 packaged breakfast meal 9 4 maize meal from grinding mill 9 5 millet 7 6 sorghum 8 7 rice 9 8 sweet potatoes 9 9 raw cassava 9 10 cassava chips 8 11 cassava flour 7 provincial or national median purch price first period (kw/kg) 93 0 84.034 2083.333 754.383 451.533 provincial or national median purch price second period (kw/kg) 93 0 172.414 2000 789.114 376.519 crop code 122 0 1 maize 10 2 sorghum 9 3 rice 11 4 millet 9 5 sunflower 10 6 groundnuts 10 7 soyabeans 9 8 seed cotton 7 9 irish potato 0 10 virginia tobacco 0 11 burley tobacco 0 12 mixed beans 10 13 ground beans 8 14 cowpeas 8 15 velvet beans 8 16 coffee 0 17 sweet potato 0 18 cassava 0 19 kenaf 0 20 cashew nut 0 21 other crops (specify) 0 22 paprika 4 25 improved fallow 0 60 popcorn 5 61 sugarcane 0 62 sugar beans 1 63 green gum 1 64 guine peas 1 65 not specified 1 unit of seed quantity 122 0 -8 not collected 0 0 none 0 1 90kg bag 8 2 50kg bag 10 3 25kg bag 10 4 10kg bag 15 5 20lt tin 13 6 90kg bag unshelled 0 7 50kg bag unshelled 0 8 25kg bag unshelled 0 9 10kg bag unshelled 1 10 20lt tin unshelled 1 11 5lt gallon 14 12 meda 13 13 bunches 0 14 muchumbu 9 15 ka bp 13 16 crates 0 17 tonnes 0 18 boxes 0 19 number 0 20 kg 15 21 litre 0 measured conversion value 98 24 0.511 180 21.394 31.023 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Adult equivalents 5419 0 0.0617 32.538 5.036 2.65 Size of household 5419 0 0.0833 40.667 6.065 3.156 Number of prime age adults 5419 0 0 22 3.242 2.006 Level of education hh head in years 5418 1 0 1003 1 245 2 303 3 405 4 414 5 357 6 520 7 992 8 222 9 407 10 171 11 42 12 186 13 2 14 2 15 11 16 3 17 120 18 9 19 4 Sysmiss 1 Maximum education level by any adult in the prime age 5205 214 0 281 1 73 2 118 3 173 4 260 5 307 6 549 7 1179 8 512 9 682 10 295 11 166 12 424 13 3 14 1 15 43 16 7 17 120 18 8 19 4 Sysmiss 214 Male headed household 4188 1231 1 4188 Sysmiss 1231 Female headed household 1231 4188 1 1231 Sysmiss 4188 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Kgs harvested 5419 0 0 729875 2838.388 14259.11 Kgs harvested panel 5419 0 0 89125 2573.377 3960.465 Value of harvest 5419 0 0 183102941.176 1435517.95 4123618.705 Value of crop production for panel crops 5419 0 0 38750000 1367777.904 2294325.459 Kgs of maize harvested 5419 0 0 89125 1372.087 3450.342 Gross value of maize harvested 5419 0 0 38750000 675270.331 1686251.224 Kgs of other staple foods harvested 5419 0 0 23800 916.105 1655.081 Gross value of other staple foods harvested 5419 0 0 12714558.9 291835.229 563148.632 Kgs of high value foods harvested 5419 0 0 5640 116.7 259.83 Gross value of high value foods harvested 5419 0 0 7783241.086 162906.764 366687.54 Kgs of cash crops harvested 5419 0 0 727000 432.33 13694.242 Gross value of cash crops harvested 5419 0 0 181750000 304978.523 3575101.657 Value of cereal production ( per HH) 5419 0 0 38750000 742205.692 1711015.825 Value of tubers production ( per HH ) 5419 0 0 12203333.333 224899.869 466044.654 5419 0 0 16004394.933 185890.883 444893.364 Value of high value crops produced ( per HH) 5419 0 0 181750000 280624.328 3566276.758 Value of other crops produced ( per HH) 5419 0 0 1560000 1897.178 37198.267 Value of maize production 5419 0 0 38750000 675270.331 1686251.224 Value of soghurm production 5419 0 0 1989189.189 14856.661 74926.805 Value of rice production 5419 0 0 11250000 20769.662 235079.336 Value of millet production 5419 0 0 1647956.403 31309.038 103676.613 Value of sunfl production 5419 0 0 2339812.815 12044.757 79757.286 Value of gnuts production 5419 0 0 5400000 118964.914 281005.36 Value of soyab production 5419 0 0 7500000 10939.362 139050.752 Value of cotton production 5419 0 0 22383200 154665.756 742943.985 Value of ipotatoes production 5419 0 0 11830000 5917.42 178815.077 Value of tobaco production 5419 0 0 22837500 59903.949 661956.177 Value of mbeans production 5419 0 0 5050836.565 37851.792 185754.818 Value of gbeans production 5419 0 0 1200000 2894.929 31973.4 Value of cowpeas production 5419 0 0 450000 2556.265 20306.61 Value of coffee production 5419 0 0 540000 211.755 9008.509 Value of spotato production 5419 0 0 1808612.44 20735.991 73997.794 Value of cassava production 5419 0 0 8206896.552 198246.458 423201.569 value of vegetable sales 5419 0 0 90000000 125678.022 1478189.782 Kgs sold 5419 0 0 727000 1030.653 13922.575 Kgs sold panel 5419 0 0 85100 766.731 2661.488 Value of sales - panel data 5419 0 0 37000000 542305.091 1674254.998 Value of sales 5419 0 0 181750000 609600.601 3799337.316 Kgs of maize sold 5419 0 0 85100 443.396 2422.288 Value of maize sold 5419 0 0 37000000 221308.281 1179615.29 Kgs of other staples sold 5419 0 0 11900 133.11 504.747 Value of other staples sold 5419 0 0 7911675.263 46759.258 241458.108 Kgs of high value foods sold 5419 0 0 3820 37.905 136.279 Value of high value foods sold 5419 0 0 5191916.592 52663.452 193636.684 Kgs of cash crops sold 5419 0 0 727000 415.604 13692.928 Value of cash crops sold 5419 0 0 181750000 288577.287 3566829.79 Value of cereal sales ( per HH) 5419 0 0 37000000 238472.311 1197597.481 Value of tubers sales ( per HH ) 5419 0 0 7210000 29595.228 163552.238 Value of bean & oilseed sales ( per HH ) 5419 0 0 11913128.13 66786.933 269529.831 Value of high value crops sales ( per HH) 5419 0 0 181750000 273159.697 3560605.677 Value of other crop sales ( per HH) 5419 0 0 1560000 1586.431 34354.506 Value of maize sales 5419 0 0 37000000 221308.281 1179615.29 Value of soghurm sales 5419 0 0 1243243.243 2137.622 29207.95 Value of rice sales 5419 0 0 7911675.263 10431.066 164656.305 Value of millet sales 5419 0 0 1240871.935 4595.342 34073.043 Value of sunfl sales 5419 0 0 2159827.214 6801.611 63350.396 Value of gnuts sales 5419 0 0 4108695.652 33427.131 130285.459 Value of soyab sales 5419 0 0 6000000 7321.87 115177.926 Value of cotton sales 5419 0 0 22383200 148883.631 720123.732 Value of ipotatoes sales 5419 0 0 7000000 4115.991 114457.077 Value of tobaco sales 5419 0 0 22837500 58550.378 655058.993 Value of mbeans sales 5419 0 0 4320000 18345.497 125561.408 Value of gbeans sales 5419 0 0 1200000 578.876 17863.536 Value of cowpeas sales 5419 0 0 155750 214.514 4329.971 Value of coffee sales 5419 0 0 90000 16.608 1222.596 Value of spotato sales 5419 0 0 1013601.741 7719.12 42972.915 Value of cassava sales 5419 0 0 4103448.276 17760.117 105183.42 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Did hh acquire fertilizer for 02/03 agricultural season? 1655 3764 -8 not collected 0 1 Yes 1655 2 No 0 Sysmiss 3764 How much basal fertilizer did hh carry over from 02/03 season? 1655 3764 0 400 7.212 32.067 How much top dressing did hh carry over from 02/03 season? 1655 3764 0 350 6.747 29.728 Price paid biggest commercial purchase 50 kg bag basal 02/03 665 4754 10000 196000 73999.812 18510.959 Price paid biggest commercial purchase 50 kg bag top dressing 02/03 685 4734 10000 196000 76702.007 19558.327 Price paid for transport for biggest commercial purchase 50 kg bag 02/03 360 5059 1000 200000 9922.5 19851.098 Quantity of basal dressing fertilizer applied (kgs) 5226 193 0 3300 49.984 160.029 Quantity of top dressing fertilizer applied (kgs) 5226 193 0 3300 49.596 156.758 Quantity of basal dressing fertilizer applied (kgs) 5226 193 0 3300 52.209 168.128 Quantity of top dressing fertilizer applied (kgs) 5226 193 0 3300 51.375 164.591 5219 200 970 1740 1435.842 202.48 5219 200 1020 1800 1468.53 210.196 5219 200 70 100 94.363 9.385 5226 193 0 3300 17.022 92.278 5226 193 0 3300 16.737 91.191 5226 193 0 3100 27.089 122.017 5226 193 0 8000 27.819 156.788 5226 193 0 800 3.818 28.048 5226 193 0 800 3.805 27.636 5226 193 0 3300 47.929 154.263 Quantity of basal fertilizer used from previous stocks (residual) 5226 193 0 2560 8.469 68.418 Quantity of basal fertilizer (panel) used from previous stocks (residual) 5226 193 0 2560 6.883 56.203 Quantity of commercially purchased basal fertilizer used 5226 193 0 3100 25.068 117.179 Quantity of commercially purchased basal fertilizer used (panel) 5226 193 0 3100 24.656 116.387 Quantity of FSP basal fertilizer used 5226 193 0 3300 15.287 87.045 Quantity of FSP basal fertilizer used (panel) 5226 193 0 3300 15.095 86.139 Quantity of free (gift) basal fertilizer used 5226 193 0 800 3.385 26.304 Quantity of free (gift) basal fertilizer used (panel) 5226 193 0 800 3.35 26.079 Total cost of basal fertilizer used 5226 193 0 4960000 61379.841 217628.164 Total cost of basal fertilizer used (panel) 5226 193 0 4960000 58316.235 206622.757 5226 193 0 8000 48.361 182.299 Quantity of top dressing used from previous stocks (residual) 5226 193 0 2560 8.22 72.343 Quantity of (panel) top dressing used from previous stocks (residual) 5226 193 -200 2560 6.916 60.706 Quantity of commercially purchased top dressing used 5226 193 0 2500 24.724 112.749 Quantity of commercially purchased top dressing used (panel) 5226 193 0 2500 24.426 112.275 Quantity of FSP top dressing used 5226 193 0 3300 15.019 85.966 Quantity of FSP top dressing used (panel) 5226 193 0 3300 14.874 85.032 Quantity of free (gift) top dressing used 5226 193 0 800 3.412 26.409 Quantity of free (gift) top dressing used (panel) 5226 193 0 800 3.381 26.182 Total cost of top dressing used 5226 193 0 4250000 62273.194 219035.203 Total cost of top dressing used (panel) 5226 193 -170000 4250000 59797.945 209242.36 Total cost of transport for fertilizer used on farm if used transport 360 5059 0 560000 36428.944 59694.985 Total cost of all fertilizer used on farm (excluding transport costs) 5226 193 0 9210000 123653.035 430943.308 Total cost (panel) of all fertilizer used on farm (excluding transport costs) 5226 193 -170000 9210000 118114.181 410660.51 Total kgs of fertilizer used 5226 193 0 6600 103.584 329.497 Total kgs of fertilizer used (panel) 5226 193 0 6600 99.58 313.856 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Total kgs of fertilizer used 5419 0 0 6600 99.895 324.144 Total cost of all fertilizer used on farm (excluding transport costs) 5419 0 0 9210000 119249.079 423818.312 Quantity of basal dressing fertilizer applied (kgs) 5419 0 0 3300 50.35 165.39 Quantity of top dressing fertilizer applied (kgs) 5419 0 0 3300 49.546 161.913 Total cost of basal fertilizer used 5419 0 0 4960000 59193.771 214019.423 Total cost of top dressing used 5419 0 0 4250000 60055.308 215408.042 Total kgs of fertilizer used (panel) 5419 0 0 6600 96.033 308.767 Total cost (panel) of all fertilizer used on farm (excluding transport costs) 5419 0 -170000 9210000 113907.494 403873.68 Quantity of basal dressing fertilizer applied (kgs) 5419 0 0 3300 48.203 157.426 Quantity of top dressing fertilizer applied (kgs) 5419 0 0 3300 47.83 154.215 Total cost of basal fertilizer used (panel) 5419 0 0 4960000 56239.278 203196.907 Total cost of top dressing used (panel) 5419 0 -170000 4250000 57668.216 205780.441 Total cost of transport for fertilizer used on farm if used transport 5419 0 0 560000 2420.081 17844.846 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 maize harvested 5419 0 0 89125 1371.761 3450.363 soghurm harvested 5419 0 0 3680 27.788 137.952 rice harvested 5419 0 0 12233.333 26.454 277.593 millet harvested 5419 0 0 3690 57.193 190.527 sunflowers harvested 5419 0 0 3250 16.117 105.391 groundnuts harvested 5419 0 0 3933 82.484 198.438 soyabeans harvested 5419 0 0 7500 11.36 143.597 cotton harvested 5419 0 0 18272 127.149 609.434 Irish potatoes harvested 5419 0 0 9971 6.301 158.917 tobacco harvested 5419 0 0 5075 13.709 150.527 mixed beans harvested 5419 0 0 3798.65 28.669 136.011 ground beans harvested 5419 0 0 1080 2.604 28.772 cowpeas harvested 5419 0 0 450 2.556 20.307 velvet beans harvested 5419 0 0 600 0.639 13.901 coffee harvested 5419 0 0 720 0.282 12.011 sweet potatos harvested 5419 0 0 9450 113.108 406.863 cassava chips harvested 5419 0 0 10577.778 304.545 654.913 paprika harvested 5419 0 0 540 0.474 10.983 popcorn harvested 5419 0 0 2121 1.135 42.758 sugarcane harvested 5419 0 0 727000 263.371 13680.216 Other crops harvested 5419 0 0 102 0.0299 1.513 Quantity of maize sold in kgs 5419 0 0 85100 443.396 2422.288 Quantity of sorghum sold in kgs 5419 0 0 2300 4.003 54.125 Quantity of rice sold in kgs 5419 0 0 8603.214 13.169 191.923 Quantity of millet sold in kgs 5419 0 0 2460 8.615 66.168 Quantity of sunflowers sold in kgs 5419 0 0 3000 8.92 82.251 Quantity of groundnuts sold in kgs 5419 0 0 2992.5 23.196 90.493 Quantity of soyabeans sold in kgs 5419 0 0 6000 7.651 120.19 Quantity of seed cotton sold in kgs 5419 0 0 18272 122.318 590.54 Quantity of irish potatoes sold in kgs 5419 0 0 5900 4.406 105.061 Quantity of tobaco sold in kgs 5419 0 0 5075 13.409 149.031 Quantity of mixed beans sold in kgs 5419 0 0 2700 13.875 89.775 Quantity of ground beans sold in kgs 5419 0 0 1080 0.521 16.077 Quantity of cowpeas sold in kgs 5419 0 0 155.75 0.215 4.33 Quantity of velvet beans sold in kgs 5419 0 0 180 0.0974 3.334 Quantity of coffee sold in kgs 5419 0 0 120 0.0221 1.63 Quantity of sweet potatoes sold in kgs 5419 0 0 4441.25 41.745 231.638 Quantity of cassava chips sold in kgs 5419 0 0 5288.889 27.188 157.473 Quantity of paprika sold in kgs 5419 0 0 540 0.448 10.82 Quantity of popcorn sold in kgs 5419 0 0 2121 0.637 31.416 Quantity of sugarcane sold in kgs 5419 0 0 727000 262.836 13680.177 Quantity of other crops sold in kgs 5419 0 0 5418 5 1 Maize kgs retained 5419 0 0 43125 928.365 1691.578 soghurm kgs retained 5419 0 0 2944 23.785 111.687 rice kgs retained 5419 0 0 5301.111 13.285 117.647 millet kgs retained 5419 0 0 2966.4 48.578 162.947 sunflower kgs retained 5419 0 -0.08 1250.1 7.197 51.085 groundnuts kgs retained 5419 0 0 3743 59.287 152.375 soyabean kgs retained 5419 0 0 1500 3.708 45.907 cotton kgs retained 5419 0 0 8000 4.831 124.738 Irish potato kgs retained 5419 0 0 4071 1.896 63.757 tobacco kgs retained 5419 0 0 1000 0.301 15.846 mixed bean kgs retained 5419 0 -0.15 3366.65 14.794 73.003 ground bean kgs retained 5419 0 0 720 2.083 22.618 cowpea kgs retained 5419 0 -30.8 436 2.342 19.4 velvet bean kgs retained 5419 0 0 570 0.541 12.64 coffee kgs retained 5419 0 0 720 0.26 11.445 sweet potato kgs retained 5419 0 0 8505 71.362 282.656 cassava chip kgs retained 5419 0 -53.333 8462.222 277.357 598.343 paprika kgs retained 5419 0 0 105 0.0263 1.515 popcorn kgs retained 5419 0 0 1960 0.498 27.329 sugarcane kgs retained 5419 0 0 2700 0.535 36.715 other crops retained 5419 0 0 102 0.029 1.502 maize calories retained 5419 0 0 153956250 3314263.531 6038931.75 soghurm calories retained 5419 0 0 9597440 77539.933 364099.804 rice calories retained 5419 0 0 18235822.222 45700.406 404706.009 millet calories retained 5419 0 0 10115424 165651.054 555649.078 sunflower calories retained 5419 0 -388.8 6075486 34977.55 248274.497 groundnuts calories retained 5419 0 0 20549070 325486.131 836538.62 soyabean calories retained 5419 0 0 5970000 14759.785 182710.215 Irish potato calories retained 5419 0 0 3338220 1554.353 52280.695 mixed beans retained 5419 0 -550.5 12355605.5 54293.874 267922.362 ground beans retained 5419 0 0 2642400 7642.882 83008.519 cowpeas retained 5419 0 -104104 1473680 7915.119 65571.56 sweet potato calories retained 5419 0 0 10291050 86348.427 342013.577 cassava chip calories retained 5419 0 -190400 30210133.333 990165.368 2136083.424 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Member number of respondent 5419 0 -8 37 3.239 6.618 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Agriculture household 5419 0 0 Non-agriculture household 54 1 Agriculture household 5365 Planted maize 5362 57 0 no 981 1 yes 4381 Sysmiss 57 Harvested maize 4381 1038 0 no 44 1 yes 4337 Sysmiss 1038 Do you have livestock? 5419 0 1 Has livestock 4419 2 Does not have livestock 1000 Gross household income from sources observed in all years (excludes fish and ret 5419 0 0 750200869.565 3449184.573 13161856.441 Net household income from sources observed in all years (excludes fish and retai 5419 0 -866084.706 420200869.565 2773941.007 7963153.665 Gross household income from all sources observed this year (not for panel analys 5419 0 0 750200869.565 3518202.53 13601097.706 Net household income from all sources observed this year (not for panel analysis 5419 0 -866084.706 420200869.565 2837617.378 8646040.515 Kgs harvested 5419 0 0 729875 2838.388 14259.11 Kgs harvested panel 5419 0 0 89125 2573.377 3960.465 Value of harvest 5419 0 0 183102941.176 1435517.95 4123618.705 Value of crop production for panel crops 5419 0 0 38750000 1367777.904 2294325.459 Kgs of maize harvested 5419 0 0 89125 1372.087 3450.342 Gross value of maize harvested 5419 0 0 38750000 675270.331 1686251.224 Kgs of other staple foods harvested 5419 0 0 23800 916.105 1655.081 Gross value of other staple foods harvested 5419 0 0 12714558.9 291835.229 563148.632 Kgs of high value foods harvested 5419 0 0 5640 116.7 259.83 Gross value of high value foods harvested 5419 0 0 7783241.086 162906.764 366687.54 Kgs of cash crops harvested 5419 0 0 727000 432.33 13694.242 Gross value of cash crops harvested 5419 0 0 181750000 304978.523 3575101.657 Value of cereal production ( per HH) 5419 0 0 38750000 742205.692 1711015.825 Value of tubers production ( per HH ) 5419 0 0 12203333.333 224899.869 466044.654 5419 0 0 16004394.933 185890.883 444893.364 Value of high value crops produced ( per HH) 5419 0 0 181750000 280624.328 3566276.758 Value of other crops produced ( per HH) 5419 0 0 1560000 1897.178 37198.267 Value of maize production 5419 0 0 38750000 675270.331 1686251.224 Value of soghurm production 5419 0 0 1989189.189 14856.661 74926.805 Value of rice production 5419 0 0 11250000 20769.662 235079.336 Value of millet production 5419 0 0 1647956.403 31309.038 103676.613 Value of sunfl production 5419 0 0 2339812.815 12044.757 79757.286 Value of gnuts production 5419 0 0 5400000 118964.914 281005.36 Value of soyab production 5419 0 0 7500000 10939.362 139050.752 Value of cotton production 5419 0 0 22383200 154665.756 742943.985 Value of ipotatoes production 5419 0 0 11830000 5917.42 178815.077 Value of tobaco production 5419 0 0 22837500 59903.949 661956.177 Value of mbeans production 5419 0 0 5050836.565 37851.792 185754.818 Value of gbeans production 5419 0 0 1200000 2894.929 31973.4 Value of cowpeas production 5419 0 0 450000 2556.265 20306.61 Value of coffee production 5419 0 0 540000 211.755 9008.509 Value of spotato production 5419 0 0 1808612.44 20735.991 73997.794 Value of cassava production 5419 0 0 8206896.552 198246.458 423201.569 Kgs sold 5419 0 0 727000 1030.653 13922.575 Kgs sold panel 5419 0 0 85100 766.731 2661.488 Value of sales - panel data 5419 0 0 37000000 542305.091 1674254.998 Value of sales 5419 0 0 181750000 609600.601 3799337.316 Kgs of maize sold 5419 0 0 85100 443.396 2422.288 Value of maize sold 5419 0 0 37000000 221308.281 1179615.29 Kgs of other staples sold 5419 0 0 11900 133.11 504.747 Value of other staples sold 5419 0 0 7911675.263 46759.258 241458.108 Kgs of high value foods sold 5419 0 0 3820 37.905 136.279 Value of high value foods sold 5419 0 0 5191916.592 52663.452 193636.684 Kgs of cash crops sold 5419 0 0 727000 415.604 13692.928 Value of cash crops sold 5419 0 0 181750000 288577.287 3566829.79 Value of cereal sales ( per HH) 5419 0 0 37000000 238472.311 1197597.481 Value of tubers sales ( per HH ) 5419 0 0 7210000 29595.228 163552.238 Value of bean & oilseed sales ( per HH ) 5419 0 0 11913128.13 66786.933 269529.831 Value of high value crops sales ( per HH) 5419 0 0 181750000 273159.697 3560605.677 Value of other crop sales ( per HH) 5419 0 0 1560000 1586.431 34354.506 Value of maize sales 5419 0 0 37000000 221308.281 1179615.29 Value of soghurm sales 5419 0 0 1243243.243 2137.622 29207.95 Value of rice sales 5419 0 0 7911675.263 10431.066 164656.305 Value of millet sales 5419 0 0 1240871.935 4595.342 34073.043 Value of sunfl sales 5419 0 0 2159827.214 6801.611 63350.396 Value of gnuts sales 5419 0 0 4108695.652 33427.131 130285.459 Value of soyab sales 5419 0 0 6000000 7321.87 115177.926 Value of cotton sales 5419 0 0 22383200 148883.631 720123.732 Value of ipotatoes sales 5419 0 0 7000000 4115.991 114457.077 Value of tobaco sales 5419 0 0 22837500 58550.378 655058.993 Value of mbeans sales 5419 0 0 4320000 18345.497 125561.408 Value of gbeans sales 5419 0 0 1200000 578.876 17863.536 Value of cowpeas sales 5419 0 0 155750 214.514 4329.971 Value of coffee sales 5419 0 0 90000 16.608 1222.596 Value of spotato sales 5419 0 0 1013601.741 7719.12 42972.915 Value of cassava sales 5419 0 0 4103448.276 17760.117 105183.42 value of vegetable sales 5419 0 0 90000000 125678.022 1478189.782 Value of livestock sales and livestock production(milk and eggs) including fish 5419 0 0 27550000 206635.525 1021862.747 Total income from sales of live and slaughtered animals 5419 0 0 22182000 137065.11 681656.034 Value of milk, eggs and fish production-ss02 5419 0 0 13680000 69570.414 542134.188 Value of production of eggs and milk-ss02 5419 0 0 13680000 68292.503 540547.713 Income from sales of eggs and milk-ss02 5419 0 0 13680000 28270.992 388234.371 Income from fish sales - ss02 5419 0 0 1670000 815.095 27987.521 Value of fish consumed-ss02 5419 0 0 730000 462.816 12905.22 Total ss02 off_farm income (sum of tot_work, net_bus, remit_cash, remit_inkind) 5419 0 -5100000 420000000 1189034.961 7098330.933 Total ss02 off_farm income (sum of tot_work, gv_busincome, remit_cash, remit_in 5419 0 0 750000000 1750371.034 12402746.554 Household total net income from informal or business activities 5419 0 -5100000 420000000 640339.237 6642556.138 Total gross household income from informal business activities 5419 0 0 750000000 1201675.309 12120756.442 Total household costs from informal or business activities 5419 0 0 330000000 561084.181 6114807.043 Cash remittances received - SS02 5419 0 0 5000000 32492.065 187973.011 In kind remittances received - SS02 5419 0 0 31717197.931 50765.766 727496.739 Total income from Salary or wage employment (sum of agric_sf, agric_lg and non_a 5419 0 0 48990000 465437.893 2103528.884 Nonfarm labor wage Income 5419 0 0 48600000 409466.279 2073687.009 Agricultural wage income - ss02 5419 0 0 9455000 55971.615 397229.502 Nonfarm income from working on small farms 5419 0 0 8573820 14954.993 200843.576 Nonfarm income from working on Large farms 5419 0 0 9455000 41016.622 343797.132 Total kgs of fertilizer used 5419 0 0 6600 99.895 324.144 Total cost of all fertilizer used on farm (excluding transport costs) 5419 0 0 9210000 119249.079 423818.312 Quantity of basal dressing fertilizer applied (kgs) 5419 0 0 3300 50.35 165.39 Quantity of top dressing fertilizer applied (kgs) 5419 0 0 3300 49.546 161.913 Total cost of basal fertilizer used 5419 0 0 4960000 59193.771 214019.423 Total cost of top dressing used 5419 0 0 4250000 60055.308 215408.042 Total kgs of fertilizer used (panel) 5419 0 0 6600 96.033 308.767 Total cost (panel) of all fertilizer used on farm (excluding transport costs) 5419 0 -170000 9210000 113907.494 403873.68 Quantity of basal dressing fertilizer applied (kgs) 5419 0 0 3300 48.203 157.426 Quantity of top dressing fertilizer applied (kgs) 5419 0 0 3300 47.83 154.215 Total cost of basal fertilizer used (panel) 5419 0 0 4960000 56239.278 203196.907 Total cost of top dressing used (panel) 5419 0 -170000 4250000 57668.216 205780.441 Total cost of transport for fertilizer used on farm if used transport 5419 0 0 560000 2420.081 17844.846 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Landholding size - cultivated plus fallow imputed 5419 0 0 40 2.314 2.699 Landholding size - cultivated plus fallow not imputed 5419 0 0 40 2.188 2.53 Land cultivated 5315 104 0.0625 26.325 1.774 1.801 Fallow field (ha) 1918 3501 0.02 33 1.266 2.386 Fallow imputed (ha) 2192 3227 0.005 33 1.418 2.588 Maize ha planted 4381 1038 0.015 26.325 0.984 1.302 Sorghum ha planted 539 4880 0.0625 5 0.409 0.403 rice ha planted 224 5195 0.03 5 0.484 0.588 millet ha planted 950 4469 0.0125 4.86 0.417 0.402 sunflower ha planted 320 5099 0.05 7 0.595 0.757 groundnuts ha planted 2454 2965 0.0125 7 0.353 0.363 soyabean ha planted 192 5227 0.0625 3 0.408 0.443 seedcotton ha planted 618 4801 0.125 15 1.04 1.154 irishpotatoes ha planted 37 5382 0.0625 1.5 0.319 0.278 tobacco ha planted 90 5329 0.0625 2.835 0.642 0.434 mixedbeans ha planted 878 4541 0.015 5.25 0.362 0.443 groundbeans ha planted 118 5301 0.01 1 0.179 0.14 cowpeas ha planted 162 5257 0.05 2.5 0.305 0.296 velvet beans ha planted 20 5399 0.101 1 0.324 0.231 coffee ha planted 6 5413 0.125 3 0.832 1.087 sweetpotato ha planted 1016 4403 0.025 4 0.251 0.275 cassava ha planted 2436 2983 0.0625 8 0.766 0.682 paprika ha planted 16 5403 0.125 1 0.363 0.242 other ha planted 17 5402 0.03 7 1.371 2.388 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Do you have livestock? 5419 0 1 Has livestock 4419 2 Does not have livestock 1000 Value of livestock sales and livestock production(milk and eggs) including fish 5419 0 0 27550000 206635.525 1021862.747 Total income from sales of live and slaughtered animals 4414 1005 0 22182000 168272.731 751811.902 Value of fish and milk/egg livestock products-ss02 842 4577 750 13680000 447745.933 1312986.719 Value of production of eggs and milk-ss02 824 4595 750 13680000 449122.665 1323751.997 Income from sales of eggs and milk-ss02 255 5164 250 13680000 600786.298 1694041.707 Income from fish sales - ss02 15 5404 20000 1670000 294466.667 458792.494 Value of fish consumed-ss02 19 5400 10000 730000 132000 178332.399 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Old district codes 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Total ss02 off_farm income (sum of tot_work, net_bus, remit_cash, remit_inkind) 5419 0 -5100000 420000000 1189034.961 7098330.933 Total ss02 off_farm income (sum of tot_work, gv_busincome, remit_cash, remit_in 5419 0 0 750000000 1750371.034 12402746.554 Household total net income from informal or business activities 5419 0 -5100000 420000000 640339.237 6642556.138 Total gross household income from informal business activities 5419 0 0 750000000 1201675.309 12120756.442 Total household costs from informal or business activities 5419 0 0 330000000 561084.181 6114807.043 Cash remittances received - SS02 5419 0 0 5000000 32492.065 187973.011 In kind remittances received - SS02 5419 0 0 31717197.931 50765.766 727496.739 Total income from Salary or wage employment (sum of agric_sf, agric_lg and non_a 5419 0 0 48990000 465437.893 2103528.884 Nonfarm labor wage Income 5419 0 0 48600000 409466.279 2073687.009 Agricultural wage income - ss02 5419 0 0 9455000 55971.615 397229.502 Nonfarm income from working on small farms 5419 0 0 8573820 14954.993 200843.576 Nonfarm income from working on Large farms 5419 0 0 9455000 41016.622 343797.132 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Panel classification of household 5419 0 0 matches all 3 years 4286 1 2000 only 0 2 2000 & 2004 only 1072 3 2004 & 2008 only 52 4 2000 & 2008 only 0 5 none of years match 9 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122 Province 5419 0 1 Central 573 2 Copperbelt 312 3 Eastern 1126 4 Luapula 619 5 Lusaka 161 6 Northern 1027 7 Nwestern 324 8 Southern 689 9 Western 588 District 5419 0 101 Chibombo 138 102 Kabwe Urban 27 103 Kapiri Mposhi 110 104 Mkushi 70 105 Mumbwa 125 106 Serenje 103 201 Chililabombwe 32 202 Chingola 26 203 Kalulushi 19 204 Kitwe 27 205 Luanshya 21 206 Lufwanyama 64 207 Masaiti 38 208 Mpongwe 60 209 Mufulira 25 210 Ndola Urban 0 301 Chadiza 79 302 Chama 67 303 Chipata 275 304 Katete 159 305 Lundazi 207 306 Mambwe 50 307 Nyimba 52 308 Petauke 237 401 Chienge 41 402 Kawambwa 112 403 Mansa 125 404 Milenge 33 405 Mwense 112 406 Nchelenge 65 407 Samfya 131 501 Chongwe 78 502 Kafue 54 503 Luangwa 29 504 Lusaka Urban 0 601 Chilubi 63 602 Chinsali 109 603 Isoka 113 604 Kaputa 56 605 Kasama 91 606 Luwingu 81 607 Mbala 104 608 Mpika 141 609 Mporokoso 68 610 Mpulungu 66 611 Mungwi 85 612 Nakonde 50 701 Chavuma 21 702 Kabompo 50 703 Kasempa 37 704 Mufumbwe 24 705 Mwinilunga 76 706 Solwezi 76 707 Zambezi 40 801 Choma 115 802 Gwembe 28 803 Itezhi-tezhi 42 804 Kalomo 110 805 Kazungula 41 806 Livingstone 27 807 Mazabuka 91 808 Monze 105 809 Namwala 43 810 Siavonga 30 811 Sinazongwe 57 901 Kalabo 87 902 Kaoma 113 903 Lukulu 71 904 Mongu 112 905 Senanga 83 906 Sesheke 72 907 Shangombo 50 Census Supervisory Area 5419 0 1 162 42.815 33.052 1st & 2nd digit of Standard Enumeration Area (SEA) 5419 0 1 34 3.638 5.613 Household Number 5419 0 1 794 53.583 45.69 Animal / equipment assets matching ss01 (ZWK per HH) 5419 0 0 389790000 1742766.593 7595623.201 Value of assets matching ss01 5419 0 0 16150000 182779.572 630558.554 All animal / equipment assets - ss02 (ZWK per HH) 5419 0 0 390970000 2355774.528 10067006.056 Value of all assets - ss02 5419 0 0 175650000 788139.601 5267722.374 Panel Household weight 5419 0 4.684 618.054 158.922 68.557 Population household weight 5419 0 4.243 2954.007 233.834 120.04 Category of farmer 5419 0 1 A - small scale holding 4775 2 B - medium scale holding 644 Old district 5419 0 11 Kabwe-Rural 248 12 Kabwe-Urban 27 13 Mkushi 70 14 Mumbwa 125 15 Serenje 103 21 Chililabombwe 32 22 Chingola 26 23 Kalulushi 19 24 Kitwe 27 25 Luanshya 21 26 Mufulira 25 27 Ndola-Rural 162 28 Ndola-Urban 0 31 Chadiza 79 32 Chama 67 33 Chipata 325 34 Katete 159 35 Lundazi 207 36 Petauke 289 41 Kawambwa 112 42 Mansa 158 43 Mwense 112 44 Nchelenge 106 45 Samfya 131 51 Luangwa 29 52 Lusaka-Rural 132 53 Lusaka-Urban 0 61 Chilubi 63 62 Chinsali 109 63 Isoka 163 64 Kaputa 56 65 Kasama 176 66 Luwingu 81 67 Mbala 170 68 Mpika 141 69 Mporokoso 68 71 Mufumbwe 24 72 Kabompo 50 73 Kasempa 37 74 Mwinilunga 76 75 Solwezi 76 76 Zambezi 61 81 Choma 115 82 Gwembe 28 83 Kalomo 151 84 Livingstone 27 85 Mazabuka 91 86 Monze 105 87 Namwala 85 88 Siavonga 30 89 Sinazongwe 57 91 Kalabo 87 92 Kaoma 113 93 Lukulu 71 94 Mongu 112 95 Senanga 83 96 Sesheke 122