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CGAP Smallholder Household Survey 2015, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households

Uganda, 2015
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Reference ID
UGA_2015_SHS_v02_M
Producer(s)
Jamie Anderson
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 15, 2016
Last modified
Apr 02, 2018
Page views
138610
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  • Study Description
  • Data Description
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  • cgap_smallholder_household_survey_uga_2015_multiple_feb_16
  • CGAP
    Smallholder
    Household
    Survey_UGA
    2015_Household_Mar18
  • CGAP
    Smallholder
    Household
    Survey_UGA
    2015_Single_Mar18

I9. District (I9)

Data file: CGAP Smallholder Household Survey_UGA 2015_Single_Mar18

Overview

Valid: 2771
Invalid: 0
Type: Discrete
Start: 31
End: 43
Width: 13
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ADJUMANI 14
0.5%
Abim 14
0.5%
Agago 28
1%
Alebtong 21
0.8%
Amolatar 9
0.3%
Amudat 15
0.5%
Amuria 15
0.5%
Amuru 13
0.5%
Apac 23
0.8%
Arua 55
2%
BULIISA 14
0.5%
Budaka 15
0.5%
Bududa 14
0.5%
Bugiri 28
1%
Buhweju 13
0.5%
Buikwe 37
1.3%
Bukedea 14
0.5%
Bukomansimbi 11
0.4%
Bukwo 15
0.5%
Bulambuli 14
0.5%
Bundibugyo 11
0.4%
Bushenyi 26
0.9%
Busia 29
1%
Butaleja 12
0.4%
Buyende 23
0.8%
Dokolo 8
0.3%
Gomba 25
0.9%
Gulu 43
1.6%
Hoima 41
1.5%
Ibanda 28
1%
Iganga 42
1.5%
Isingiro 43
1.6%
Jinja 48
1.7%
Kabale 42
1.5%
Kabalore 56
2%
Kaberamaido 15
0.5%
Kalangala 12
0.4%
Kaliro 13
0.5%
Kalungu 22
0.8%
Kamuli 42
1.5%
Kamwenge 27
1%
Kanungu 29
1%
Kasese 69
2.5%
Katakwi 12
0.4%
Kayunga 28
1%
Kibaale 87
3.1%
Kiboga 14
0.5%
Kibuku 14
0.5%
Kiruhura 36
1.3%
Kiryandongo 25
0.9%
Kisoro 27
1%
Kitgum 14
0.5%
Koboko 13
0.5%
Kole 13
0.5%
Kotido 15
0.5%
Kumi 14
0.5%
Kween 15
0.5%
Kyankwanzi 14
0.5%
Kyegegwa 14
0.5%
Kyenjojo 40
1.4%
Lamwo 14
0.5%
Lira 36
1.3%
Luuka 13
0.5%
Luweero 50
1.8%
Lwengo 29
1%
Lyantonde 14
0.5%
Manafwa 25
0.9%
Maracha 15
0.5%
Masaka 23
0.8%
Masindi 28
1%
Mayuge 38
1.4%
Mbale 56
2%
Mbarara 41
1.5%
Mitooma 13
0.5%
Mityana 26
0.9%
Moyo 15
0.5%
Mpigi 24
0.9%
Mubende 63
2.3%
Mukono 55
2%
NAKAPIRIPIRIT 15
0.5%
Nakaseke 28
1%
Namayingo 19
0.7%
Namutumba 14
0.5%
Napak 15
0.5%
Nebbi 37
1.3%
Ngora 14
0.5%
Ntungamo 55
2%
Nwoya 14
0.5%
Oyam 33
1.2%
Pader 15
0.5%
Pallisa 30
1.1%
Rakai 32
1.2%
Rubirizi 14
0.5%
Rukungiri 30
1.1%
Sembabule 11
0.4%
Serere 14
0.5%
Sheema 14
0.5%
Sironko 24
0.9%
Soroti 26
0.9%
Tororo 57
2.1%
Wakiso 143
5.2%
Yumbe 30
1.1%
Zombo 11
0.4%
kaabong 15
0.5%
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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