Codes and Frequencies
An 'X' indicates the category is available for that sample
| Code | Label |
afghan
15
|
angola
15
|
bang
07
|
bang
11
|
bang
14
|
bang
18
|
benin
11
|
benin
17
|
burkf
10
|
burkf
14
|
burkf
18
|
burun
10
|
burun
12
|
burun
16
|
camer
11
|
Code | Label |
camer
22
|
chad
14
|
comor
12
|
congo
11
|
cotedi
11
|
egypt
88
|
egypt
05
|
egypt
08
|
egypt
14
|
eswat
06
|
ethio
05
|
ethio
11
|
ethio
16
|
ethio
19
|
gabon
12
|
Code | Label |
gambia
13
|
gambia
19
|
ghana
08
|
ghana
16
|
ghana
19
|
guinea
12
|
guinea
18
|
guinea
21
|
india
05
|
india
15
|
india
19
|
kenya
08
|
kenya
15
|
kenya
20
|
lesoth
09
|
Code | Label |
lesoth
14
|
liber
07
|
liber
11
|
liber
13
|
liber
16
|
liber
19
|
madag
08
|
madag
16
|
madag
21
|
malaw
04
|
malaw
12
|
malaw
14
|
malaw
16
|
malaw
17
|
mali
06
|
Code | Label |
mali
12
|
mali
15
|
mali
18
|
mali
21
|
moroc
03
|
moz
18
|
myan
15
|
namib
06
|
namib
13
|
nepal
06
|
nepal
11
|
nepal
16
|
niger
12
|
niger
21
|
nigera
15
|
Code | Label |
nigera
18
|
nigera
21
|
pak
06
|
pak
12
|
pak
17
|
rwand
10
|
rwand
13
|
rwand
17
|
rwand
19
|
seneg
05
|
seneg
06
|
seneg
10
|
seneg
12
|
seneg
14
|
seneg
15
|
Code | Label |
seneg
16
|
seneg
17
|
seneg
21
|
sleone
16
|
sleone
19
|
safrica
16
|
tanz
15
|
tanz
17
|
togo
13
|
togo
17
|
ugand
06
|
ugand
09
|
ugand
11
|
ugand
14
|
ugand
16
|
Code | Label |
ugand
18
|
yem
13
|
zambia
07
|
zambia
13
|
zambia
18
|
zimbw
15
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 0 | No | X | X | X | X | X | X |
| 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 1 | Yes | X | X | X | X | X | X |
| 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 6 | Non-resident | · | · | · | · | · | · |
| 7 | Unknown | · | X | X | · | · | X | X | X | X | X | X | · | · | · | X | 7 | Unknown | X | X | X | X | X | · | X | X | X | X | · | · | X | X | X | 7 | Unknown | X | X | X | X | X | X | X | X | · | · | · | X | X | X | X | 7 | Unknown | X | X | X | X | X | X | X | X | X | · | X | · | X | X | · | 7 | Unknown | X | X | X | X | X | X | X | X | X | · | · | · | X | X | X | 7 | Unknown | X | X | X | X | · | · | · | · | · | X | · | X | X | X | X | 7 | Unknown | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 7 | Unknown | X | · | X | X | X | X |
| 8 | Missing | X | · | X | · | X | · | · | · | X | X | · | · | · | · | X | 8 | Missing | · | X | X | X | X | X | X | X | X | X | X | X | · | · | X | 8 | Missing | · | · | · | · | · | X | · | · | X | · | · | X | · | · | · | 8 | Missing | · | X | X | · | · | · | · | · | · | · | · | · | · | · | X | 8 | Missing | · | · | · | · | · | · | X | X | X | · | · | · | · | · | · | 8 | Missing | · | · | X | X | X | X | X | · | · | · | X | · | · | · | · | 8 | Missing | · | · | · | · | · | · | X | · | X | · | X | X | X | · | · | 8 | Missing | · | X | X | X | · | · |
| 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | X | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · | · | · | · | · | · | · | · | · | · | 9 | NIU (not in universe) | · | · | · | · | · | · |
Can't find the category you are looking for? Try the Detailed codes
Description
CHICKYN indicates whether the household owned chickens. In some cases, the question referred to other domestic fowl, as well; see Comparability. The complementary variable CHICKNUM reports the number of chickens owned by the household.
The information in CHICKYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.
Comparability — Index
Comparability
Along with universe differences, CHICKYN varies across samples in question wording. Most surveys asked about the ownership of chickens specifically, but some samples, noted below, included other domestic fowl in the same question.
Comparability - Standard DHS
CHICKYN is a country-specific household variable not included in the standard DHS questionnaire.
Comparability — Angola [top]
The 2015 Angola survey asked about the ownership of chickens or ducks.
Comparability — Bangladesh [top]
The 2007, 2011, and 2014 Bangladesh surveys asked about the ownership of "chickens or ducks."
Comparability — Burkina Faso [top]
The 2018 Burkina Faso survey asked about the ownership of "chickens or poultry."
Comparability — Burundi [top]
The 2010 Burundi survey asked about the ownership of "chickens." The 2016 Burundi survey asked about the ownership of "poultry (chickens, ducks, pigeons, turkey, Guinea fowl)."
Comparability — Cameroon [top]
The 2011 Cameroon survey asked about the ownership of "fowl." The 2022 Cameroon survey asked about the ownership of "chickens or poultry."
Comparability — Chad [top]
The 2014 Chad survey asked about ownership of "chickens, fowl, ducks, and/or pigeons."
Comparability — Congo Brazzaville [top]
The 2011 Congo survey asked about the ownership of "chickens, ducks, pigeons, turkeys, guinea fowl."
Comparability — Egypt [top]
The 2005 Egyptian survey asked about the ownership of "birds (chickens, geese, ducks, and pigeons)." The 2008 Egyptian survey asked about "chickens" only. The 1988 and 2014 Egyptian surveys asked about the ownership of "poultry" (unspecified).
Comparability — Ghana [top]
The 2019 Ghana survey asked about the ownership of "chickens or poultry."
Comparability — Guinea [top]
The 2021 Guinea survey asked about the ownership of "chickens or poultry."
Comparability — India [top]
The 2005, 2015, and 2019 Indian surveys asked about the ownership of "chickens or ducks."
Comparability — Kenya [top]
The 2020 Kenya survey asked about the ownership of "chickens or poultry."
Comparability — Lesotho [top]
The 2009 and 2014 Lesotho surveys asked about ownership of "ordinary [indigenous] free range chickens." These surveys also asked about ownership of "improved" chickens, presumably more expensive breeds that have desirable characteristics (e.g., disease resistance, faster weight gain, more eggs laid) kept in coops. Ownership of "improved chickens" is documented in CHICKIMPYN.
Comparability — Liberia [top]
The 2007, 2011, and 2013 Liberian surveys asked about the ownership of "chickens, ducks, or guinea fowl." The 2016 survey asked about the ownership of "chickens or other poultry."
Comparability — Madagascar [top]
The 2016 Madagascar survey asked about the ownership of "chickens or poultry."
Comparability — Malawi [top]
The 2017 Malawi survey asked about the ownership of "chickens or poultry."
Comparability — Mali [top]
The 2006 Malian survey asked about the ownership of "poultry," which could have included domestic fowl other than or in addition to chickens. The 2021 Malian survey asked about the ownership of "chickens or other poultry."
Comparability — Niger [top]
The 2012 Niger survey asked about the ownership of "chickens, guinea fowl, pigeons."
Comparability — Nigeria [top]
The 2021 Nigeria survey asked about the ownership of "chickens or poultry."
Comparability — Rwanda [top]
The 2017 Rwanda survey asked about the ownership of "chickens or poultry."
Comparability — Senegal [top]
The 2005 and 2021 Senegal surveys asked about the ownership of "poultry."
Comparability — Sierra Leone [top]
The 2016 Sierra Leone surveys asked about the ownership of "chickens or poultry."
Comparability — Tanzania [top]
The 2015 and 2017 Tanzanian surveys asked about the ownership of "chickens or other poultry."
Comparability — Togo [top]
The 2017 Togo survey asked about the ownership of "chickens or other poultry."
Comparability — Zimbabwe [top]
The 2015 Zimbabwe survey asked about household ownership of "chickens or other poultry."
Universe
- Afghanistan 2015: Ever-married women age 15-49.
- Angola 2015: All women age 15-49.
- Bangladesh 2007: Ever-married women age 15-49.
- Bangladesh 2011: Ever-married women age 12-49.
- Bangladesh 2014: Ever-married women age 15-49.
- Bangladesh 2018: Ever-married women age 15-49.
- Benin 2011: All women age 15-49.
- Benin 2017: All women age 15-49.
- Burkina Faso 2010: All women age 15-49.
- Burkina Faso 2014: All women age 15-49.
- Burkina Faso 2018: All women age 15-49.
- Burundi 2010: All women age 15-49.
- Burundi 2012: All women age 15-49.
- Burundi 2016: All women age 15-49.
- Cameroon 2011: All women age 15-49.
- Cameroon 2022: All women age 15-49.
- Chad 2014: All women age 15-49.
- Comoros 2012: All women age 15-49.
- Congo Brazzaville 2011: All women age 15-49.
- Cote d'Ivoire 2011: All women age 15-49.
- Egypt 1988: Ever-married women age 15-49.
- Egypt 2005: Ever-married women age 15-49.
- Egypt 2008: Ever-married women age 15-49.
- Egypt 2014: Ever-married women age 15-49.
- Eswatini (Swaziland) 2006: All women age 15-49.
- Ethiopia 2005: Women age 15-49 whose households own any livestock.
- Ethiopia 2011: All women age 15-49.
- Ethiopia 2016: All women age 15-49.
- Ethiopia 2019: All women age 15-49.
- Gabon 2012: All women age 15-49.
- Gambia 2013: All women age 15-49.
- Gambia 2019: All women age 15-49.
- Ghana 2008: All women age 15-49.
- Ghana 2016: All women age 15-49.
- Ghana 2019: All women age 15-49.
- Guinea 2012: All women age 15-49.
- Guinea 2018: All women age 15-49.
- Guinea 2021: All women age 15-49.
- India 2005: All women age 15-49.
- India 2015: All women age 15-49.
- India 2019: All women age 15-49.
- Kenya 2008: All women age 15-49.
- Kenya 2015: All women age 15-49.
- Kenya 2020: All women age 15-49.
- Lesotho 2009: All women age 15-49.
- Lesotho 2014: All women age 15-49.
- Liberia 2007: All women age 15-49.
- Liberia 2011: All women age 15-49.
- Liberia 2013: All women age 15-49.
- Liberia 2016: All women age 15-49.
- Liberia 2019: All women age 15-49.
- Madagascar 2008: All women age 15-49.
- Madagascar 2016: All women age 15-49.
- Madagascar 2021: All women age 15-49.
- Malawi 2004: All women age 15-49.
- Malawi 2012: All women age 15-49.
- Malawi 2014: All women age 15-49.
- Malawi 2016: All women age 15-49.
- Malawi 2017: All women age 15-49.
- Mali 2006: All women age 15-49.
- Mali 2012: All women age 15-49.
- Mali 2015: All women age 15-49.
- Mali 2018: All women age 15-49.
- Mali 2021: All women age 15-49.
- Morocco 2003: All women age 15-49.
- Mozambique 2018: All women age 15-49.
- Myanmar 2015: All women age 15-49.
- Namibia 2006: All women age 15-49.
- Namibia 2013: All women age 15-49.
- Nepal 2006: All women age 15-49.
- Nepal 2011: All women age 15-49.
- Nepal 2016: All women age 15-49.
- Niger 2012: All women age 15-49.
- Niger 2021: All women age 15-49.
- Nigeria 2015: All women age 15-49.
- Nigeria 2018: All women age 15-49.
- Nigeria 2021: All women age 15-49.
- Pakistan 2006: Ever-married women age 15-49.
- Pakistan 2012: Ever-married women age 15-49.
- Pakistan 2017: Ever-married women age 15-49.
- Rwanda 2010: All women age 15-49.
- Rwanda 2013: All women age 15-49.
- Rwanda 2017: All women age 15-49.
- Rwanda 2019: All women age 15-49.
- Senegal 2005: All women age 15-49.
- Senegal 2006: All women age 15-49.
- Senegal 2010: All women age 15-49.
- Senegal 2012: All women age 15-49.
- Senegal 2014: All women age 15-49.
- Senegal 2015: All women age 15-49.
- Senegal 2016: All women age 15-49.
- Senegal 2017: All women age 15-49.
- Senegal 2021: All women age 15-49.
- Sierra Leone 2016: All women age 15-49.
- Sierra Leone 2019: All women age 15-49.
- South Africa 2016: All women age 15-49.
- Tanzania 2015: All women age 15-49.
- Tanzania 2017: All women age 15-49.
- Togo 2013: All women age 15-49.
- Togo 2017: All women age 15-49.
- Uganda 2006: All women age 15-49.
- Uganda 2009: All women age 15-49.
- Uganda 2011: All women age 15-49.
- Uganda 2014: All women age 15-49.
- Uganda 2016: All women age 15-49.
- Uganda 2018: All women age 15-49.
- Yemen 2013: All women age 15-49.
- Zambia 2007: All women age 15-49.
- Zambia 2013: All women age 15-49.
- Zambia 2018: All women age 15-49.
- Zimbabwe 2015: All women age 15-49.
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