African Cigarette Prices 2016-2025
Rounds 1-17
Africa, 2016 - 2025
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Reference ID
zaf-reep-acp-2016-2025-v1.8
Producer(s)
Research Unit on the Economics of Excisable Products
Metadata
Created on
Feb 10, 2023
Last modified
Oct 02, 2025
Page views
20521
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- Data files
- zaf-reep-acp-r1-r17-2016-2025-v1.8
Province (or state if appliable) (Province)
Data file: zaf-reep-acp-r1-r17-2016-2025-v1.8
Overview
Valid:
362908
Invalid:
54
Type:
Discrete
Decimal:
0
loc_start_pos:
34
loc_end_pos:
36
Width:
3
Range:
1 - 104
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Addis Ababa | 19297 |
5.3%
|
| 2 | Analamanga | 20 |
0%
|
| 3 | Atsinanana | 347 |
0.1%
|
| 4 | Benue | 93 |
0%
|
| 5 | Benue State | 389 |
0.1%
|
| 6 | Berea | 2893 |
0.8%
|
| 7 | Blantyre | 1429 |
0.4%
|
| 8 | Bulawayo | 1141 |
0.3%
|
| 9 | Butha-Buthe | 1255 |
0.3%
|
| 10 | Central | 1320 |
0.4%
|
| 11 | Central District | 278 |
0.1%
|
| 12 | Central Region | 815 |
0.2%
|
| 13 | Central Uganda | 51 |
0%
|
| 14 | Chari Baguirmi | 1508 |
0.4%
|
| 15 | Chinhoyi | 462 |
0.1%
|
| 16 | Chobe District | 65 |
0%
|
| 17 | Copperbelt | 341 |
0.1%
|
| 18 | Dar Es Salaam | 3187 |
0.9%
|
| 19 | Domboshava | 207 |
0.1%
|
| 20 | Eastern Cape | 5413 |
1.5%
|
| 21 | Eastern Region | 96 |
0%
|
| 22 | Embu County | 4 |
0%
|
| 23 | Erongo | 2843 |
0.8%
|
| 24 | Erongo Region | 25 |
0%
|
| 25 | Far North Region | 66 |
0%
|
| 26 | Francistown | 542 |
0.1%
|
| 27 | Free State | 9283 |
2.6%
|
| 28 | Gaborone | 21 |
0%
|
| 29 | Gauteng | 27764 |
7.7%
|
| 30 | Grand Port | 11 |
0%
|
| 31 | Greater Accra Region | 389 |
0.1%
|
| 32 | Harare | 53897 |
14.9%
|
| 33 | Hhohho | 636 |
0.2%
|
| 34 | Highlands | 648 |
0.2%
|
| 35 | Kampala | 90 |
0%
|
| 36 | Kariba | 43 |
0%
|
| 37 | Kgatleng | 348 |
0.1%
|
| 38 | Kgatleng District | 332 |
0.1%
|
| 39 | Khomas | 26315 |
7.3%
|
| 40 | Kilimanjaro | 9 |
0%
|
| 41 | Kisumu County | 189 |
0.1%
|
| 42 | Kunene | 134 |
0%
|
| 43 | KwaZulu-Natal | 31754 |
8.7%
|
| 44 | Kwekwe | 103 |
0%
|
| 45 | Kweneng | 2092 |
0.6%
|
| 46 | Lagos State | 95 |
0%
|
| 47 | Leribe | 2934 |
0.8%
|
| 48 | Lesotho | 7199 |
2%
|
| 49 | Lilongwe | 1073 |
0.3%
|
| 50 | Limpopo | 18723 |
5.2%
|
| 51 | Livingstone | 96 |
0%
|
| 52 | Lowlands | 2242 |
0.6%
|
| 53 | Lubombo | 88 |
0%
|
| 54 | Lusaka | 1268 |
0.3%
|
| 55 | Mafeteng | 1806 |
0.5%
|
| 56 | Manicaland | 6210 |
1.7%
|
| 57 | Manzini | 1329 |
0.4%
|
| 58 | Maputo | 956 |
0.3%
|
| 59 | Maseru | 22588 |
6.2%
|
| 60 | Mashonaland Central | 316 |
0.1%
|
| 61 | Mashonaland East | 3476 |
1%
|
| 62 | Mashonaland West | 381 |
0.1%
|
| 63 | Masvingo | 9355 |
2.6%
|
| 64 | Matabeleland | 243 |
0.1%
|
| 65 | Matabeleland North | 739 |
0.2%
|
| 66 | Matabeleland South | 38 |
0%
|
| 67 | Matebeleland | 6025 |
1.7%
|
| 68 | Midlands | 6313 |
1.7%
|
| 69 | Migori County | 57 |
0%
|
| 70 | Mohale'S Hoek | 564 |
0.2%
|
| 71 | Mokhotlong | 398 |
0.1%
|
| 72 | Mpumalanga | 1772 |
0.5%
|
| 73 | N'Djamena | 258 |
0.1%
|
| 74 | Nairobi County | 2195 |
0.6%
|
| 75 | Narok County | 2 |
0%
|
| 76 | North East District | 11 |
0%
|
| 77 | North West | 11192 |
3.1%
|
| 78 | North-East District | 765 |
0.2%
|
| 79 | Northern Cape | 7190 |
2%
|
| 80 | Omusati | 514 |
0.1%
|
| 81 | Oromia | 3499 |
1%
|
| 82 | Oshana | 3806 |
1%
|
| 83 | Oshana Region | 514 |
0.1%
|
| 84 | Oshikoto | 112 |
0%
|
| 85 | Osun State | 86 |
0%
|
| 86 | Otjozondjupa | 2478 |
0.7%
|
| 87 | Oyo State | 96 |
0%
|
| 88 | Plaines Wilhems | 137 |
0%
|
| 89 | Quthing | 172 |
0%
|
| 90 | RivièRe Noire | 112 |
0%
|
| 91 | Salima | 121 |
0%
|
| 92 | South East | 5463 |
1.5%
|
| 93 | South East District | 741 |
0.2%
|
| 94 | South-East | 177 |
0%
|
| 95 | South-East District | 1115 |
0.3%
|
| 96 | Southern District | 579 |
0.2%
|
| 97 | Western Cape | 16521 |
4.6%
|
| 98 | Shiselweni | 166 |
0%
|
| 99 | Zomba | 68 |
0%
|
| 100 | Kiambu County | 9889 |
2.7%
|
| 101 | Mutare | 101 |
0%
|
| 102 | Rusape | 19 |
0%
|
| 103 | Arusha | 320 |
0.1%
|
| 104 | Qacha | 60 |
0%
|
| Sysmiss | 54 |
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.