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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-Ghana Node Data Repository and Advocacy for Policy (DARAP)
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Nov 10, 2021
Last modified
Mar 31, 2024
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whereborn.district (whereborn_district)

Data file: 01d_background

Overview

Valid: 15987
Invalid: 0
Type: Discrete
Width: 41
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
**Accra** 537
3.4%
**Bolgatanga** 223
1.4%
**Cape Coast** 164
1%
**Ho** 126
0.8%
**Kumasi** 632
4%
**New Juaben** (Koforidua) 101
0.6%
**Sekondi-Takoradi** 128
0.8%
**Sunyani** 71
0.4%
**Tamale** 457
2.9%
**Wa** 185
1.2%
Abura-Asebu-Kwamankese 26
0.2%
Adaklu-Anyigbe 5
0%
Adansi North 42
0.3%
Adansi South 13
0.1%
Adenta 5
0%
Afigya Kwabre 133
0.8%
Agona East 56
0.4%
Agona West 81
0.5%
Ahafo Ano North 15
0.1%
Ahafo Ano South 50
0.3%
Ahanta West 49
0.3%
Ajumako/Enyan/Esiam 80
0.5%
Akatsi 120
0.8%
Akwapim North 68
0.4%
Akwapim South 132
0.8%
Akyemansa 2
0%
Amansi e Central 124
0.8%
Amansie East 17
0.1%
Amansie West 33
0.2%
Aowin Suaman 154
1%
Asante Akim North 29
0.2%
Asante Akim South 68
0.4%
Ashaiman 24
0.2%
Asikuma /Odoben/ Brakwa 90
0.6%
Assin North 79
0.5%
Assin South 25
0.2%
Asunafo North 196
1.2%
Asunafo South 45
0.3%
Asuogyaman 83
0.5%
Asutifi 44
0.3%
Atebubu Amantin 58
0.4%
Atiwa 61
0.4%
Atwima Mponua 165
1%
Atwima Nwabiagya 77
0.5%
Atwima-Kwanwoma 35
0.2%
Awutu Senya 43
0.3%
Bawku 295
1.8%
Bawku West 6
0%
Bekwai 65
0.4%
Berekum 25
0.2%
Biakoye 24
0.2%
Bibiani /Anhwiaso/ Bekwai 46
0.3%
Birim Central 41
0.3%
Birim North 46
0.3%
Birim South 59
0.4%
Bole 21
0.1%
Bongo 154
1%
Bosome Freho 40
0.3%
Bosomtwe 113
0.7%
Builsa 155
1%
Bunkprugu-Yunyoo 162
1%
Central Gonja 8
0.1%
Chereponi 278
1.7%
Dangbe East 31
0.2%
Dangbe West 25
0.2%
Don't know specific district, only region 1765
11%
Dormaa 55
0.3%
East Akim 176
1.1%
East Gonja 89
0.6%
East Mamprusi 29
0.2%
Effutu 61
0.4%
Ejisu-Juabeng 94
0.6%
Ejura Sekyedumase 37
0.2%
Ellembele 91
0.6%
Fanteakwa 70
0.4%
Ga East 10
0.1%
Ga West 39
0.2%
Garu-Tempane 103
0.6%
Gomoa East 64
0.4%
Gomoa West 92
0.6%
Gushiegu 253
1.6%
Hohoe 126
0.8%
Jaman North 37
0.2%
Jaman South 133
0.8%
Jasikan 30
0.2%
Jirapa 25
0.2%
Jomoro 78
0.5%
Juabeso 8
0.1%
Kadjebi 95
0.6%
Karaga 105
0.7%
Kassena Nankana 31
0.2%
Kassena Nankana West 5
0%
Keta 18
0.1%
Ketu North 104
0.7%
Ketu South 67
0.4%
Kintampo North 47
0.3%
Kintampo South 78
0.5%
Komenda-Edina-Eguafo-Abirem 10
0.1%
Kpandai 217
1.4%
Kpando 71
0.4%
Krachi East 6
0%
Krachi West 5
0%
Kwabibirem 43
0.3%
Kwabre 38
0.2%
Kwahu East 18
0.1%
Kwahu North (Afram Plains) 91
0.6%
Kwahu South 76
0.5%
Kwahu West 15
0.1%
Lambussie Karni 2
0%
Lawra 19
0.1%
Ledzekuku-Krowor 45
0.3%
Lower Manya Krobo 125
0.8%
Mampong 16
0.1%
Mfantsiman 104
0.7%
Mpohor Wassa East 131
0.8%
Nadowli 312
2%
Nanumba North 162
1%
Nanumba South 52
0.3%
Nkoranza North 16
0.1%
Nkoranza South 84
0.5%
Nkwanta South 36
0.2%
Nkwanta North 191
1.2%
North Tongu 119
0.7%
Nzema East 60
0.4%
Obuasi 39
0.2%
Prestea-Huni Valley 147
0.9%
Pru 89
0.6%
Saboba 6
0%
Savelugu Nanton 289
1.8%
Sawla-Tuna-Kalba 54
0.3%
Sefwi Akontobra 27
0.2%
Sefwi Wiawso 58
0.4%
Sekyere Afram Plain 37
0.2%
Sekyere Central 36
0.2%
Sekyere East 48
0.3%
Sekyere South 61
0.4%
Sene 62
0.4%
Shama 12
0.1%
Sissala East 45
0.3%
Sissala West 97
0.6%
South Dayi 44
0.3%
South Tongu 14
0.1%
Suhum /Kraboa /Coaltar 152
1%
Sunyani West 38
0.2%
Tain 35
0.2%
Talensi-Nabdam 145
0.9%
Tano North 43
0.3%
Tano South 1
0%
Tarkwa Nsuaem 34
0.2%
Techiman 59
0.4%
Tema 89
0.6%
Tolon-Kumbungu 115
0.7%
Twifo/Heman/Lower Denkyira / 17
0.1%
Uper Denkyira West 7
0%
Upper Denkyira East 3
0%
Upper Manya Krobo 24
0.2%
Wa East 11
0.1%
Wa West 82
0.5%
Wassa Amenfi East 34
0.2%
Wassa Amenfi West 62
0.4%
Weija 38
0.2%
Wenchi 92
0.6%
West Akim 40
0.3%
West Gonja 51
0.3%
West Mamprusi 252
1.6%
Yendi 274
1.7%
Yilo Krobo 36
0.2%
Zabzugu Tatale 304
1.9%
offinso 152
1%
offinso North 8
0.1%
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.
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