Tanzania High Frequency Welfare Monitoring Phone Survey - Round Six to Twelve: 2022 -2024
Tanzania, 2022 - 2024
Get MicrodataCreated on
Apr 14, 2025
Last modified
Apr 14, 2025
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- Data files
- r6_sect_1
- r6_sect_1b
- r6_sect_2
- r6_sect_6
- r6_sect_a_2_3_5_7_10
- r7_sect_1
- r7_sect_1b
- r7_sect_2
- r7_sect_5
- r7_sect_6
- r7_sect_7
- r7_sect_8
- r7_sect_12b
- r7_sect_a_2_3_4_11_12a_10
- r8_sect_1
- r8_sect_1b
- r8_sect_2
- r8_sect_5
- r8_sect_6
- r8_sect_7
- r8_sect_8
- r8_sect_12b
- r8_sect_a_2_3_4_4a_11_12a_10
- r9_sect_1
- r9_sect_1b
- r9_sect_2
- r9_sect_5
- r9_sect_6
- r9_sect_7
- r9_sect_8
- r9_sect_12b
- r9_sect_a_2_3_4_11_12a_14_15_10
- r10_sect_1
- r10_sect_1b
- r10_sect_2
- r10_sect_2b
- r10_sect_5
- r10_sect_6
- r10_sect_7
- r10_sect_8
- r10_sect_12b
- r10_sect_a_2_3_4_4a_11_12a_10
- r11_sect_1
- r11_sect_1b
- r11_sect_2
- r11_sect_2b
- r11_sect_5
- r11_sect_6
- r11_sect_7
- r11_sect_8
- r11_sect_12b
- r11_sect_13
- r11_sect_a_2_3_4_11_12a_10
- r12_sect_1
- r12_sect_1b
- r12_sect_2
- r12_sect_2b
- r12_sect_5
- r12_sect_6
- r12_sect_7
- r12_sect_8
- r12_sect_12b
- r12_sect_a_2_3_4_4a_11_12a_13_10
REGION (t0_region)
Data file: r7_sect_6
Overview
Valid:
14763
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
1
End:
2
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. DODOMA | 637 |
4.3%
|
| 2 | 2. ARUSHA | 560 |
3.8%
|
| 3 | 3. KILIMANJARO | 630 |
4.3%
|
| 4 | 4. TANGA | 553 |
3.7%
|
| 5 | 5. MOROGORO | 511 |
3.5%
|
| 6 | 6. PWANI | 420 |
2.8%
|
| 7 | 7. DAR ES SALAAM | 1519 |
10.3%
|
| 8 | 8. LINDI | 210 |
1.4%
|
| 9 | 9. MTWARA | 406 |
2.8%
|
| 10 | 10. RUVUMA | 455 |
3.1%
|
| 11 | 11. IRINGA | 588 |
4%
|
| 12 | 12. MBEYA | 518 |
3.5%
|
| 13 | 13. SINGIDA | 371 |
2.5%
|
| 14 | 14. TABORA | 441 |
3%
|
| 15 | 15. RUKWA | 154 |
1%
|
| 16 | 16. KIGOMA | 483 |
3.3%
|
| 17 | 17. SHINYANGA | 420 |
2.8%
|
| 18 | 18. KAGERA | 378 |
2.6%
|
| 19 | 19. MWANZA | 609 |
4.1%
|
| 20 | 20. MARA | 504 |
3.4%
|
| 21 | 21. MANYARA | 532 |
3.6%
|
| 22 | 22. NJOMBE | 469 |
3.2%
|
| 23 | 23. KATAVI | 308 |
2.1%
|
| 24 | 24. SIMIYU | 350 |
2.4%
|
| 25 | 25. GEITA | 469 |
3.2%
|
| 26 | 26. SONGWE | 0 |
0%
|
| 51 | 51. KASKAZINI UNGUJA | 700 |
4.7%
|
| 52 | 52. KUSINI UNGUJA | 77 |
0.5%
|
| 53 | 53. MJINI MAGHARIBI UNGUJA | 364 |
2.5%
|
| 54 | 54. KASKAZINI PEMBA | 777 |
5.3%
|
| 55 | 55. KUSINI PEMBA | 350 |
2.4%
|
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.