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    Home / Data Portal / ACEIR / GHA-ISSER-GSEPS-2013-2014-V1 / variable [F39]
ACEIR

Ghana Socioeconomic Panel Survey 2013-2014, Wave 2

Ghana, 2010 - 2013
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Reference ID
gha-isser-gseps-2013-2014-v1
Producer(s)
Institute of Statistical, Social and Economic Research,
Collections
African Centre of Excellence for Inequality Research
Metadata
DDI/XML JSON
Created on
Nov 15, 2021
Last modified
Aug 15, 2022
Page views
186633
Downloads
593
  • Study Description
  • Data Description
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  • Data files
  • 01a_consent
  • 01b2_preroster
  • 01b2_roster
  • 01d_background
  • 01e_employment
  • 01ea_employmentscreener
  • 01ei_employmentmain
  • 01eii_employmentsecondary
  • 01eiii_unemployed
  • 01fi_generaleducation
  • 01fii_edcareer
  • 01fiii_literacy
  • 01gi_immigration
  • 01gii_migrationhistory
  • 02a_nr_relatives
  • 02a_nr_relatives_questions
  • 02a_oldrelativelist
  • 02b_nr_spouses
  • 02b_nr_spouses_questions
  • 02b_oldspouselist
  • 03ai_animalquestions
  • 03aii_toolquestions
  • 03aiii_durablegoodquestions
  • 03bi_borrowingquestions
  • 03bii_lendingquestions
  • 03biii_outtransfersquestions
  • 03biv_intransfersquestions
  • 03bv_savingquestions
  • 04h_agsection
  • 04h_preroster
  • 04i_landtenure
  • 04j_tracploughuse
  • 04k_seedquestions
  • 04l_chemquestions
  • 04l_inputs
  • 04m_aglabour
  • 04m_aglabourquestions
  • 04n_harvest
  • 04n_harvestquestions
  • 04nn_gatheringquestions
  • 04o_cropsalesstoresquestions
  • 04o_cropsalesstoresservices
  • 05_preroster
  • 05ai_basicinfo
  • 05aii_assetquestions
  • 05bi_allemployees
  • 05bii_fourimportant
  • 05bii_fourimportantquestions
  • 06a_insurance
  • 06b_anthropometry
  • 06c_immunization
  • 06d_dailyliving
  • 06e_miscellaneous
  • 06f_past2weeks
  • 06g_past12months
  • 07_womenshealth
  • 07a_fertility
  • 07b_power
  • 08a_reprohealth
  • 08b_power
  • 09_childrens
  • 09a_youngchildhealth
  • 09b_digitspantest
  • 09c_ravenspattern
  • 09d_math
  • 09e_english
  • 10_determine_respondents
  • 10ai_depression
  • 10aii_subjectivesocialwelfare
  • 10aiii_regrets
  • 10aiv_townsend
  • 10av_trust
  • 10avi_careforkids
  • 10avi_timeuseloop
  • 10bii_riskpreferences
  • 10c_socialnetworkingquestions
  • 10di_binteractionsquestions
  • 10dii_mediaextensionsquestions
  • 10diii_volunteer_questions
  • 11a_foodcomsumption_prod_purch
  • 11b_clothingquestions
  • 11c_otheritems
  • 11d_fuelconsumptionquestions
  • 12a_housingcharacteristics1i_rent
  • 12a_housingcharacteristics1ii_utilities
  • 12a_housingcharacteristics1iii_structure
  • 12a_measure
  • 12a_measurements
  • 12b_housingcharacteristics2
  • cocoa
  • temp

s04n_09 - How damaged (damagedhow1)

Data file: 04n_harvestquestions

Overview

Valid: 3650
Invalid: 4579
Type: Discrete
Decimal: 0
Width: 19
Range: 1 - 95
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Rotting 820
22.5%
2 Disease 396
10.8%
3 Fire 15
0.4%
4 Flood/too much rain 384
10.5%
5 Drought 1036
28.4%
6 Birds 218
6%
7 Insects 159
4.4%
8 Ants 15
0.4%
9 Bees 2
0.1%
10 Cockroaches 0
0%
11 Grasshoppers 34
0.9%
12 Locust 3
0.1%
13 Termites 121
3.3%
14 Caterpillars 18
0.5%
15 Centipedes 8
0.2%
17 Crickets 0
0%
18 Weevils 22
0.6%
20 Rodents 218
6%
21 Mice 6
0.2%
22 Rats 40
1.1%
23 Grasscutters 38
1%
24 Squirrels 7
0.2%
25 Monkeys 1
0%
26 Sheep 1
0%
27 Goats 1
0%
28 Cattle 5
0.1%
29 Bandicoot 0
0%
95 Other - specify 82
2.2%
Sysmiss 4579
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Others

Notes
READ: What was/were the %CropName from %plotname lost to? SELECT UP TO 3 CHOICES, STARTING WITH THE ONE THAT CAUSED THE MOST DAMAGE
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