Impact Evaluation of Scaling-up Handwashing and Rural Sanitation Behavior Projects in Tanzania 2012, Endline Survey
Tanzania, 2012
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Reference ID
TZA_2012_SHRSBIE-EL_v01_M_v01_A_PUF
Producer(s)
Sebastian Martinez, Aidan Coville, Bertha Briceno
Metadata
Created on
Mar 31, 2015
Last modified
Mar 31, 2015
Page views
115126
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Data file: listing
Overview
Valid:
87002
Invalid:
0
Type:
Discrete
Start:
44
End:
56
Width:
13
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Bereko | 458 |
0.5%
|
|
| Bugene | 646 |
0.7%
|
|
| Bugomora | 650 |
0.7%
|
|
| Buhemba | 353 |
0.4%
|
|
| Bukabwa | 447 |
0.5%
|
|
| Bukima | 673 |
0.8%
|
|
| Bukoko | 690 |
0.8%
|
|
| Bukumi | 453 |
0.5%
|
|
| Bungu | 324 |
0.4%
|
|
| Buruma | 371 |
0.4%
|
|
| Busi | 391 |
0.4%
|
|
| Buswahili | 402 |
0.5%
|
|
| Butiama | 372 |
0.4%
|
|
| Butuguri | 365 |
0.4%
|
|
| Bwagamoyo | 274 |
0.3%
|
|
| Bwasi | 485 |
0.6%
|
|
| Bweranyange | 707 |
0.8%
|
|
| Bwiregi | 448 |
0.5%
|
|
| Chabutwa | 328 |
0.4%
|
|
| Chandama | 474 |
0.5%
|
|
| Changaa | 492 |
0.6%
|
|
| Chigugu | 559 |
0.6%
|
|
| Chiungutwa | 901 |
1%
|
|
| Chiwata | 1066 |
1.2%
|
|
| Chumbi | 564 |
0.6%
|
|
| Chunyu | 463 |
0.5%
|
|
| Dalai | 305 |
0.4%
|
|
| Dongo | 309 |
0.4%
|
|
| Dosidosi | 754 |
0.9%
|
|
| Etaro | 829 |
1%
|
|
| Farkwa | 248 |
0.3%
|
|
| Goima | 793 |
0.9%
|
|
| Haubi | 475 |
0.5%
|
|
| Ifunda | 231 |
0.3%
|
|
| Igoweko | 370 |
0.4%
|
|
| Igunga | 652 |
0.7%
|
|
| Igurubi | 513 |
0.6%
|
|
| Igurwa | 711 |
0.8%
|
|
| Ihanda | 681 |
0.8%
|
|
| Ikwiriri | 214 |
0.2%
|
|
| Ipera | 293 |
0.3%
|
|
| Isakamaliwa | 551 |
0.6%
|
|
| Isingiro | 464 |
0.5%
|
|
| Itumba | 759 |
0.9%
|
|
| Itunduru | 369 |
0.4%
|
|
| Izazi | 245 |
0.3%
|
|
| Jangalo | 652 |
0.7%
|
|
| Kaengesa | 317 |
0.4%
|
|
| Kaisho | 667 |
0.8%
|
|
| Kalamba | 548 |
0.6%
|
|
| Kalambazite | 312 |
0.4%
|
|
| Kalenga | 598 |
0.7%
|
|
| Kamuli | 718 |
0.8%
|
|
| Kaoze | 513 |
0.6%
|
|
| Kasanga | 277 |
0.3%
|
|
| Kayanga | 583 |
0.7%
|
|
| Kibakwe | 392 |
0.5%
|
|
| Kibingo | 737 |
0.8%
|
|
| Kibiti | 294 |
0.3%
|
|
| Kibondo | 700 |
0.8%
|
|
| Kihanga | 770 |
0.9%
|
|
| Kijungu | 463 |
0.5%
|
|
| Kikilo | 364 |
0.4%
|
|
| Kikore | 417 |
0.5%
|
|
| Kimagai | 508 |
0.6%
|
|
| Kimuli | 692 |
0.8%
|
|
| Kingale | 501 |
0.6%
|
|
| Kining'inila | 335 |
0.4%
|
|
| Kinungu | 233 |
0.3%
|
|
| Kiongoroni | 587 |
0.7%
|
|
| Kiriba | 439 |
0.5%
|
|
| Kiruruma | 585 |
0.7%
|
|
| Kisese | 430 |
0.5%
|
|
| Kituntu | 586 |
0.7%
|
|
| Kiwere | 613 |
0.7%
|
|
| Kolo | 379 |
0.4%
|
|
| Kondoa Mjini | 215 |
0.2%
|
|
| Kukirango | 323 |
0.4%
|
|
| Kwadelo | 682 |
0.8%
|
|
| Kwamtoro | 423 |
0.5%
|
|
| Kyanyari | 303 |
0.3%
|
|
| Kyerwa | 576 |
0.7%
|
|
| Laela | 565 |
0.6%
|
|
| Lalta | 535 |
0.6%
|
|
| Lipumburu | 910 |
1%
|
|
| Lisekese | 434 |
0.5%
|
|
| Lukuledi | 571 |
0.7%
|
|
| Lumuli | 339 |
0.4%
|
|
| Lumuma | 444 |
0.5%
|
|
| Lusaka | 982 |
1.1%
|
|
| Mabira | 498 |
0.6%
|
|
| Maboga | 296 |
0.3%
|
|
| Mahege | 290 |
0.3%
|
|
| Makame | 274 |
0.3%
|
|
| Makorongo | 335 |
0.4%
|
|
| Mambwekenya | 273 |
0.3%
|
|
| Maparoni | 291 |
0.3%
|
|
| Marika | 1008 |
1.2%
|
|
| Masaba | 472 |
0.5%
|
|
| Massa | 529 |
0.6%
|
|
| Matai | 438 |
0.5%
|
|
| Matomondo | 307 |
0.4%
|
|
| Matui | 605 |
0.7%
|
|
| Mazae | 358 |
0.4%
|
|
| Mbuchi | 360 |
0.4%
|
|
| Mbuga | 207 |
0.2%
|
|
| Mbutu | 636 |
0.7%
|
|
| Mbwara | 418 |
0.5%
|
|
| Mchukwi | 160 |
0.2%
|
|
| Mgomba | 290 |
0.3%
|
|
| Miangalula | 488 |
0.6%
|
|
| Milepa | 1234 |
1.4%
|
|
| Mkululu | 348 |
0.4%
|
|
| Mkundi | 486 |
0.6%
|
|
| Mlowa | 301 |
0.3%
|
|
| Mnavira | 883 |
1%
|
|
| Mnenia | 334 |
0.4%
|
|
| Mondo | 537 |
0.6%
|
|
| Mpindimbi | 534 |
0.6%
|
|
| Mpui | 427 |
0.5%
|
|
| Mpwapwa Mjini | 359 |
0.4%
|
|
| Mrijo | 554 |
0.6%
|
|
| Mseke | 427 |
0.5%
|
|
| Mtowisa | 422 |
0.5%
|
|
| Mtunda | 234 |
0.3%
|
|
| Mugango | 384 |
0.4%
|
|
| Murangi | 474 |
0.5%
|
|
| Muriaza | 441 |
0.5%
|
|
| Murongo | 656 |
0.8%
|
|
| Muze | 490 |
0.6%
|
|
| Mwamashiga | 421 |
0.5%
|
|
| Mwamashimba | 322 |
0.4%
|
|
| Mwaseni | 424 |
0.5%
|
|
| Mwashiku | 215 |
0.2%
|
|
| Mwena | 307 |
0.4%
|
|
| Mwimbi | 346 |
0.4%
|
|
| Mwisi | 269 |
0.3%
|
|
| Namajani | 460 |
0.5%
|
|
| Nanga | 377 |
0.4%
|
|
| Nanganga | 649 |
0.7%
|
|
| Ndama | 730 |
0.8%
|
|
| Ndembezi | 361 |
0.4%
|
|
| Nduli | 311 |
0.4%
|
|
| Ngorongo | 433 |
0.5%
|
|
| Ngulu | 294 |
0.3%
|
|
| Nguvumoja | 402 |
0.5%
|
|
| Nkwenda | 780 |
0.9%
|
|
| Ntobo | 428 |
0.5%
|
|
| Nyaishozi | 654 |
0.8%
|
|
| Nyakahanga | 563 |
0.6%
|
|
| Nyakakika | 876 |
1%
|
|
| Nyakatende | 679 |
0.8%
|
|
| Nyambono | 523 |
0.6%
|
|
| Nyamimange | 464 |
0.5%
|
|
| Nyandekwa | 395 |
0.5%
|
|
| Nyankanga | 465 |
0.5%
|
|
| Nzihi | 491 |
0.6%
|
|
| Olbolot | 379 |
0.4%
|
|
| Ovada | 451 |
0.5%
|
|
| Pahi | 312 |
0.4%
|
|
| Paranga | 546 |
0.6%
|
|
| Partimbo | 798 |
0.9%
|
|
| Ruaruke | 562 |
0.6%
|
|
| Rudi | 331 |
0.4%
|
|
| Rwabwere | 520 |
0.6%
|
|
| Salale | 508 |
0.6%
|
|
| Sandulula | 680 |
0.8%
|
|
| Sanzawa | 497 |
0.6%
|
|
| Simbo | 289 |
0.3%
|
|
| Sindano | 329 |
0.4%
|
|
| Soera | 450 |
0.5%
|
|
| Sopa | 374 |
0.4%
|
|
| Suguti | 510 |
0.6%
|
|
| Sungwizi | 211 |
0.2%
|
|
| Suruke | 488 |
0.6%
|
|
| Tegeruka | 404 |
0.5%
|
|
| Thawi | 360 |
0.4%
|
|
| Ulanda | 341 |
0.4%
|
|
| Vin'ghawe | 388 |
0.4%
|
|
| Wasa | 226 |
0.3%
|
|
| Ziba | 717 |
0.8%
|
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.