Kagera Health and Development Survey 2010, Wave 6
Tanzania, 2010
Get Microdata
Reference ID
TZA_2010_KHDS_v01_M
Producer(s)
Economic Development Initiatives
Collection(s)
Metadata
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
109454
Downloads
20711
- Data files
- anthro
- HH2WeekExpense
- HHAnimProdCons
- HHAnnualExpense
- HHData
- HHDurableAsset
- HHEnterprise
- HHEnterprise2004
- HHEnterpriseMember
- HHExpenditureInd
- HHExpenditureInd2wks
- HHFoodExpendNS
- HHFoodExpendS
- HHGiftLoanIn
- HHGiftLoanOut
- HHInheritance
- HHInheritanceGroup
- HHInheritanceInd
- HHLifeEvent
- HHLinks
- HHLivestock
- HHMember
- HHMemberEE
- HHOutsideOrg
- HHPlot
- HHPriceData
- HHProdCons
- HHSampleRecord
- HHSeasonMonth
- LinkIDs
- PHHM
- PHHMMortality
- PHHMTimeOfDeath
- PHHMWedding
- PHHMWeddingPayment
- QXOtherDescription
- SibRoster
Level 2 : District (District)
Data file: HHData
Overview
Valid:
3326
Invalid:
0
Minimum:
102
Maximum:
8079
Type:
Discrete
Decimal:
0
Start:
58
End:
61
Width:
4
Range:
101 - 8080
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Kondoa | 0 |
0%
|
| 102 | Mpwapwa | 1 |
0%
|
| 103 | Kongwa | 0 |
0%
|
| 104 | Dodoma Rural | 0 |
0%
|
| 105 | Dodoma Urban | 12 |
0.4%
|
| 201 | Monduli | 0 |
0%
|
| 202 | Arumeru | 1 |
0%
|
| 203 | Arusha | 10 |
0.3%
|
| 204 | Karatu | 0 |
0%
|
| 205 | Ngorongoro | 0 |
0%
|
| 301 | Rombo | 0 |
0%
|
| 302 | Mwanga | 0 |
0%
|
| 303 | Same | 0 |
0%
|
| 304 | Moshi Rural | 1 |
0%
|
| 305 | Hai | 0 |
0%
|
| 306 | Moshi Urban | 1 |
0%
|
| 401 | Lushoto | 0 |
0%
|
| 402 | Korogwe | 0 |
0%
|
| 403 | Muheza | 0 |
0%
|
| 404 | Tanga | 3 |
0.1%
|
| 405 | Pangani | 0 |
0%
|
| 406 | Handeni | 1 |
0%
|
| 407 | Kilindi | 0 |
0%
|
| 501 | Kilosa | 3 |
0.1%
|
| 502 | Morogoro | 3 |
0.1%
|
| 503 | Kilombero | 1 |
0%
|
| 504 | Ulanga | 0 |
0%
|
| 505 | Morogoro Urban | 7 |
0.2%
|
| 506 | Mvomero | 1 |
0%
|
| 601 | Bagamoyo | 2 |
0.1%
|
| 602 | Kibaha | 2 |
0.1%
|
| 603 | Kisarawe | 0 |
0%
|
| 604 | Mkuranga | 0 |
0%
|
| 605 | Rufiji | 0 |
0%
|
| 606 | Mafia | 0 |
0%
|
| 701 | Kinondoni | 80 |
2.4%
|
| 702 | Ilala | 53 |
1.6%
|
| 703 | Temeke | 53 |
1.6%
|
| 801 | Kilwa | 0 |
0%
|
| 802 | Lindi Rural | 0 |
0%
|
| 803 | Nachingwea | 0 |
0%
|
| 804 | Liwale | 0 |
0%
|
| 805 | Ruangwa | 0 |
0%
|
| 806 | Lindi Urban | 0 |
0%
|
| 901 | Mtwara Rural | 0 |
0%
|
| 902 | Newala | 0 |
0%
|
| 903 | Masasi | 0 |
0%
|
| 904 | Tandahimba | 0 |
0%
|
| 905 | Mtwara Mikindani | 0 |
0%
|
| 1001 | Tunduru | 0 |
0%
|
| 1002 | Songea Rural | 0 |
0%
|
| 1003 | Mbinga | 0 |
0%
|
| 1004 | Songea Urban | 0 |
0%
|
| 1005 | Namtumbo | 0 |
0%
|
| 1101 | Iringa Rural | 0 |
0%
|
| 1102 | Mufindi | 0 |
0%
|
| 1103 | Makete | 0 |
0%
|
| 1104 | Njombe | 0 |
0%
|
| 1105 | Ludewa | 1 |
0%
|
| 1106 | Iringa Urban | 1 |
0%
|
| 1107 | Kilolo | 1 |
0%
|
| 1201 | Chunya | 0 |
0%
|
| 1202 | Mbeya Rural | 0 |
0%
|
| 1203 | Kyela | 1 |
0%
|
| 1204 | Rungwe | 1 |
0%
|
| 1205 | Ileje | 0 |
0%
|
| 1206 | Mbozi | 0 |
0%
|
| 1207 | Mbarali | 0 |
0%
|
| 1208 | Mbeya Urban | 8 |
0.2%
|
| 1301 | Iramba | 1 |
0%
|
| 1302 | Singida Rural | 0 |
0%
|
| 1303 | Manyoni | 0 |
0%
|
| 1304 | Singida Urban | 2 |
0.1%
|
| 1401 | Nzega | 2 |
0.1%
|
| 1402 | Igunga | 4 |
0.1%
|
| 1403 | Uyui | 0 |
0%
|
| 1404 | Urambo | 2 |
0.1%
|
| 1405 | Sikonge | 1 |
0%
|
| 1406 | Tabora Urban | 3 |
0.1%
|
| 1501 | Mpanda | 1 |
0%
|
| 1502 | Sumbawanga Rural | 0 |
0%
|
| 1503 | Nkasi | 0 |
0%
|
| 1504 | Sumbwanga Urban | 2 |
0.1%
|
| 1601 | Kibondo | 10 |
0.3%
|
| 1602 | Kasulu | 1 |
0%
|
| 1603 | Kigoma Rural | 0 |
0%
|
| 1604 | Kigoma Urban | 3 |
0.1%
|
| 1701 | Bariadi | 2 |
0.1%
|
| 1702 | Maswa | 1 |
0%
|
| 1703 | Shinyanga Rural | 1 |
0%
|
| 1704 | Kahama | 26 |
0.8%
|
| 1705 | Bukombe | 23 |
0.7%
|
| 1706 | Meatu | 0 |
0%
|
| 1707 | Shinyanga Urban | 14 |
0.4%
|
| 1708 | Kishapu | 1 |
0%
|
| 1801 | Karagwe | 393 |
11.8%
|
| 1802 | Bukoba Rural | 915 |
27.5%
|
| 1803 | Muleba | 448 |
13.5%
|
| 1804 | Biharamulo | 202 |
6.1%
|
| 1805 | Ngara | 291 |
8.7%
|
| 1806 | Bukoba Urban | 484 |
14.6%
|
| 1901 | Ukerewe | 4 |
0.1%
|
| 1902 | Magu | 7 |
0.2%
|
| 1903 | Nyamagana | 72 |
2.2%
|
| 1904 | Kwimba | 1 |
0%
|
| 1905 | Sengerema | 12 |
0.4%
|
| 1906 | Geita | 36 |
1.1%
|
| 1907 | Misungwi | 0 |
0%
|
| 1908 | Ilemela | 42 |
1.3%
|
| 2001 | Tarime | 3 |
0.1%
|
| 2002 | Mara | 1 |
0%
|
| 2003 | Musoma Rural | 4 |
0.1%
|
| 2004 | Bunda | 4 |
0.1%
|
| 2005 | Musoma Urban | 4 |
0.1%
|
| 2101 | Babati | 0 |
0%
|
| 2102 | Hanang | 0 |
0%
|
| 2103 | Mbulu | 0 |
0%
|
| 2104 | Simanjiro | 0 |
0%
|
| 2105 | Kiteto | 0 |
0%
|
| 5101 | Kaskazini 'A' | 0 |
0%
|
| 5102 | Kaskazini 'B' | 0 |
0%
|
| 5201 | Kati | 0 |
0%
|
| 5202 | Kusini | 0 |
0%
|
| 5301 | Magharibi | 0 |
0%
|
| 5302 | Mjini | 0 |
0%
|
| 5401 | Wete | 0 |
0%
|
| 5402 | Micheweni | 0 |
0%
|
| 5501 | Chakechake | 0 |
0%
|
| 5502 | Mkoani | 0 |
0%
|
| 8001 | Abim | 0 |
0%
|
| 8002 | Adjumani | 0 |
0%
|
| 8003 | Amolatar | 0 |
0%
|
| 8004 | Amuria | 0 |
0%
|
| 8005 | Amuru | 0 |
0%
|
| 8006 | Apac | 0 |
0%
|
| 8007 | Arua | 0 |
0%
|
| 8008 | Budaka | 0 |
0%
|
| 8009 | Bududa | 0 |
0%
|
| 8010 | Bugiri | 0 |
0%
|
| 8011 | Bukedea | 0 |
0%
|
| 8012 | Bukwo | 0 |
0%
|
| 8013 | Buliisa | 0 |
0%
|
| 8014 | Bundibugyo | 0 |
0%
|
| 8015 | Bushenyi | 1 |
0%
|
| 8016 | Busia | 0 |
0%
|
| 8017 | Butaleja | 0 |
0%
|
| 8018 | Dokolo | 0 |
0%
|
| 8019 | Gulu | 0 |
0%
|
| 8020 | Hoima | 5 |
0.2%
|
| 8021 | Ibanda | 0 |
0%
|
| 8022 | Iganga | 0 |
0%
|
| 8023 | Isingiro | 0 |
0%
|
| 8024 | Jinja | 1 |
0%
|
| 8025 | Kaabong | 0 |
0%
|
| 8026 | Kabale | 0 |
0%
|
| 8027 | Kabarole | 0 |
0%
|
| 8028 | Kaberamaido | 0 |
0%
|
| 8029 | Kalangala | 0 |
0%
|
| 8030 | Kaliro | 0 |
0%
|
| 8031 | Kampala | 14 |
0.4%
|
| 8032 | Kamuli | 0 |
0%
|
| 8033 | Kamwenge | 1 |
0%
|
| 8034 | Kanungu | 0 |
0%
|
| 8035 | Kapchorwa | 0 |
0%
|
| 8036 | Kasese | 0 |
0%
|
| 8037 | Katakwi | 0 |
0%
|
| 8038 | Kayunga | 0 |
0%
|
| 8039 | Kibaale | 0 |
0%
|
| 8040 | Kiboga | 0 |
0%
|
| 8041 | Kiruhuura | 0 |
0%
|
| 8042 | Kisoro | 0 |
0%
|
| 8043 | Kitgum | 0 |
0%
|
| 8044 | Koboko | 0 |
0%
|
| 8045 | Kotido | 0 |
0%
|
| 8046 | Kumi | 0 |
0%
|
| 8047 | Kyenjojo | 0 |
0%
|
| 8048 | Lira | 0 |
0%
|
| 8049 | Luwero | 0 |
0%
|
| 8050 | Lyantonde | 0 |
0%
|
| 8051 | Manafwa | 0 |
0%
|
| 8052 | Masaka | 2 |
0.1%
|
| 8053 | Masindi | 0 |
0%
|
| 8054 | Mayuge | 0 |
0%
|
| 8055 | Mbale | 0 |
0%
|
| 8056 | Mbarara | 4 |
0.1%
|
| 8057 | Mityana | 0 |
0%
|
| 8058 | Moroto | 0 |
0%
|
| 8059 | Moyo | 0 |
0%
|
| 8060 | Mpigi | 0 |
0%
|
| 8061 | Mubende | 1 |
0%
|
| 8062 | Mukono | 0 |
0%
|
| 8063 | Nakapiripirit | 0 |
0%
|
| 8064 | Nakaseke | 0 |
0%
|
| 8065 | Nakasongola | 0 |
0%
|
| 8066 | Namutumba | 0 |
0%
|
| 8067 | Nebbi | 0 |
0%
|
| 8068 | Ntungamo | 0 |
0%
|
| 8069 | Nyadri | 0 |
0%
|
| 8070 | Oyam | 0 |
0%
|
| 8071 | Pader | 0 |
0%
|
| 8072 | Pallisa | 0 |
0%
|
| 8073 | Rakai | 25 |
0.8%
|
| 8074 | Rukungiri | 0 |
0%
|
| 8075 | Sembabule | 0 |
0%
|
| 8076 | Sironko | 0 |
0%
|
| 8077 | Soroti | 0 |
0%
|
| 8078 | Tororo | 0 |
0%
|
| 8079 | Wakiso | 1 |
0%
|
| 8080 | Yumbe | 0 |
0%
|
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.