Impact Evaluation of Scaling-up Handwashing and Rural Sanitation Behavior Projects in Tanzania 2012
Tanzania, 2012
Get MicrodataCreated on
Mar 13, 2015
Last modified
Mar 29, 2019
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Data file: community
Overview
Valid:
362
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
8
End:
10
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 101 | Bungu |
| 102 | Chumbi |
| 103 | Ikwiriri |
| 104 | Kibiti |
| 105 | Kiongoroni |
| 106 | Mahege |
| 107 | Maparoni |
| 108 | Mbuchi |
| 109 | Mbwara |
| 110 | Mchukwi |
| 111 | Mgomba |
| 112 | Mtunda |
| 113 | Mwaseni |
| 114 | Ngorongo |
| 115 | Ruaruke |
| 116 | Salale |
| 201 | Bereko |
| 202 | Busi |
| 203 | Chandama |
| 204 | Changaa |
| 205 | Chunyu |
| 206 | Dalai |
| 207 | Farkwa |
| 208 | Goima |
| 209 | Haubi |
| 210 | Ipera |
| 211 | Jangalo |
| 212 | Kalamba |
| 213 | Kibakwe |
| 214 | Kikilo |
| 215 | Kikore |
| 216 | Kimagai |
| 217 | Kingale |
| 218 | Kisese |
| 219 | Kolo |
| 220 | Kondoa Mjini |
| 221 | Kwadelo |
| 222 | Kwamtoro |
| 223 | Lalta |
| 224 | Lumuma |
| 225 | Makorongo |
| 226 | Massa |
| 227 | Matomondo |
| 228 | Mazae |
| 229 | Mbuga |
| 230 | Mnenia |
| 231 | Mondo |
| 232 | Mpwapwa Mjini |
| 233 | Mrijo |
| 234 | Ovada |
| 235 | Pahi |
| 236 | Paranga |
| 237 | Rudi |
| 238 | Sanzawa |
| 239 | Soera |
| 240 | Suruke |
| 241 | Thawi |
| 242 | Vin'ghawe |
| 301 | Ifunda |
| 302 | Izazi |
| 303 | Kalenga |
| 304 | Kiwere |
| 305 | Lumuli |
| 306 | Maboga |
| 307 | Mlowa |
| 308 | Mseke |
| 309 | Nduli |
| 310 | Nzihi |
| 311 | Ulanda |
| 312 | Wasa |
| 401 | Bugandika |
| 402 | Bugene |
| 403 | Bugomora |
| 404 | Bugorora |
| 405 | Bweranyange |
| 406 | Goziba |
| 407 | Igurwa |
| 408 | Ihanda |
| 409 | Ikondo |
| 410 | Isingiro |
| 411 | Izigo |
| 412 | Kaisho |
| 413 | Kakunyu |
| 414 | Kamuli |
| 415 | Kanyigo |
| 416 | Kasambya |
| 417 | Kashenye |
| 418 | Kayanga |
| 419 | Kibingo |
| 420 | Kibondo |
| 421 | Kihanga |
| 422 | Kilimirire |
| 423 | Kimuli |
| 424 | Kiruruma |
| 425 | Kituntu |
| 426 | Kyaka |
| 427 | Kyerwa |
| 428 | Mabira |
| 429 | Mayondwe |
| 430 | Mazinga |
| 431 | Minziro |
| 432 | Muhutwe |
| 433 | Muleba |
| 434 | Murongo |
| 435 | Ndama |
| 436 | Nkwenda |
| 437 | Nsunga |
| 438 | Nyaishozi |
| 439 | Nyakahanga |
| 440 | Nyakakika |
| 441 | Ruzinga |
| 442 | Rwabwere |
| 501 | Bwagamoyo |
| 502 | Dongo |
| 503 | Dosidosi |
| 504 | Kijungu |
| 505 | Makame |
| 506 | Matui |
| 507 | Olbolot |
| 508 | Partimbo |
| 601 | Buhemba |
| 602 | Bukabwa |
| 603 | Bukima |
| 604 | Bukumi |
| 605 | Buruma |
| 606 | Buswahili |
| 607 | Butiama |
| 608 | Butuguri |
| 609 | Bwasi |
| 610 | Bwiregi |
| 611 | Etaro |
| 612 | Kiriba |
| 613 | Kukirango |
| 614 | Kyanyari |
| 615 | Masaba |
| 616 | Mugango |
| 617 | Murangi |
| 618 | Muriaza |
| 619 | Nyakatende |
| 620 | Nyambono |
| 621 | Nyamimange |
| 622 | Nyankanga |
| 623 | Suguti |
| 624 | Tegeruka |
| 701 | Chigugu |
| 702 | Chiungutwa |
| 703 | Chiwata |
| 704 | Lipumburu |
| 705 | Lisekese |
| 706 | Lukuledi |
| 707 | Marika |
| 708 | Mkululu |
| 709 | Mkundi |
| 710 | Mnavira |
| 711 | Mpindimbi |
| 712 | Mwena |
| 713 | Namajani |
| 714 | Nanganga |
| 715 | Sindano |
| 801 | Kaengesa |
| 802 | Kalambazite |
| 803 | Kaoze |
| 804 | Kasanga |
| 805 | Laela |
| 806 | Lusaka |
| 807 | Mambwekenya |
| 808 | Matai |
| 809 | Miangalula |
| 810 | Milepa |
| 811 | Mpui |
| 812 | Mtowisa |
| 813 | Muze |
| 814 | Mwimbi |
| 815 | Sandulula |
| 816 | Sopa |
| 901 | Bukoko |
| 902 | Chabutwa |
| 903 | Igoweko |
| 904 | Igunga |
| 905 | Igurubi |
| 906 | Isakamaliwa |
| 907 | Itumba |
| 908 | Itunduru |
| 909 | Kining'inila |
| 910 | Kinungu |
| 911 | Mbutu |
| 912 | Mwamashiga |
| 913 | Mwamashimba |
| 914 | Mwashiku |
| 915 | Mwisi |
| 916 | Nanga |
| 917 | Ndembezi |
| 918 | Ngulu |
| 919 | Nguvumoja |
| 920 | Ntobo |
| 921 | Nyandekwa |
| 922 | Simbo |
| 923 | Sungwizi |
| 924 | Ziba |
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.