High Frequency Welfare Monitoring Phone Survey 2021-2024
Tanzania, 2021 - 2024
Get Microdata
Reference ID
TZA_2021-2024_HFWMPS_v08_M
Producer(s)
National Bureau of Statistics
Created on
Sep 07, 2022
Last modified
Sep 20, 2023
Page views
45350
Downloads
524
- Data files
- r1_sect_1.dta
- r1_sect_1b.dta
- r1_sect_2.dta
- r1_sect_a_3_4_5_6_7_8_10.dta
- r2_sect_1.dta
- r2_sect_1b.dta
- r2_sect_2_6.dta
- r2_sect_a_2_3_4_5_7_8_10.dta
- r3_sect_1.dta
- r3_sect_1b.dta
- r3_sect_2_3b.dta
- r3_sect_11.dta
- r3_sect_a_2_3_4_5b_7_10.dta
- r4_sect_1.dta
- r4_sect_1b.dta
- r4_sect_2.dta
- r4_sect_7.dta
- r4_sect_a_2_3_4_9b_10.dta
- r5_sect_1.dta
- r5_sect_1b.dta
- r5_sect_5f.dta
- r5_sect_a_2_3_4_5f_9a_10.dta
- r6_sect_1.dta
- r6_sect_1b.dta
- r6_sect_2.dta
- r6_sect_6.dta
- r6_sect_a_2_3_5_7_10.dta
- r7_sect_1.dta
- r7_sect_1b.dta
- r7_sect_2.dta
- r7_sect_5.dta
- r7_sect_6.dta
- r7_sect_7.dta
- r7_sect_8.dta
- r7_sect_12b.dta
- r7_sect_a_2_3_4_11_12a_10.dta
- r8_sect_1.dta
- r8_sect_1b.dta
- r8_sect_2.dta
- r8_sect_5.dta
- r8_sect_6.dta
- r8_sect_7.dta
- r8_sect_8.dta
- r8_sect_12b.dta
- r8_sect_a_2_3_4_4a_11_12a_10.dta
- r9_sect_1.dta
- r9_sect_1b.dta
- r9_sect_2.dta
- r9_sect_5.dta
- r9_sect_6.dta
- r9_sect_7.dta
- r9_sect_8.dta
- r9_sect_12b.dta
- r9_sect_a_2_3_4_11_12a_14_15_10.dta
- r10_sect_1.dta
- r10_sect_1b.dta
- r10_sect_2.dta
- r10_sect_2b.dta
- r10_sect_5.dta
- r10_sect_6.dta
- r10_sect_7.dta
- r10_sect_8.dta
- r10_sect_12b.dta
- r10_sect_a_2_3_4_4a_11_12a_10.dta
- r5_sect_2.dta
- r11_sect_1.dta
- r11_sect_1b.dta
- r11_sect_2.dta
- r11_sect_2b.dta
- r11_sect_5.dta
- r11_sect_6.dta
- r11_sect_7.dta
- r11_sect_8.dta
- r11_sect_12b.dta
- r11_sect_13.dta
- r11_sect_a_2_3_4_11_12a_10.dta
REGION (t0_region)
Data file: r3_sect_a_2_3_4_5b_7_10.dta
Overview
Valid:
2719
Invalid:
-
Minimum:
1
Maximum:
55
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 | 94 |
3.5%
|
| 2 | 2. ARUSHA | 99 |
3.6%
|
| 3 | 3. KILIMANJARO | 118 |
4.3%
|
| 4 | 4. TANGA | 95 |
3.5%
|
| 5 | 5. MOROGORO | 100 |
3.7%
|
| 6 | 6. PWANI | 74 |
2.7%
|
| 7 | 7. DAR ES SALAAM | 275 |
10.1%
|
| 8 | 8. LINDI | 47 |
1.7%
|
| 9 | 9. MTWARA | 75 |
2.8%
|
| 10 | 10. RUVUMA | 72 |
2.6%
|
| 11 | 11. IRINGA | 112 |
4.1%
|
| 12 | 12. MBEYA | 118 |
4.3%
|
| 13 | 13. SINGIDA | 65 |
2.4%
|
| 14 | 14. TABORA | 80 |
2.9%
|
| 15 | 15. RUKWA | 38 |
1.4%
|
| 16 | 16. KIGOMA | 93 |
3.4%
|
| 17 | 17. SHINYANGA | 96 |
3.5%
|
| 18 | 18. KAGERA | 81 |
3%
|
| 19 | 19. MWANZA | 113 |
4.2%
|
| 20 | 20. MARA | 89 |
3.3%
|
| 21 | 21. MANYARA | 100 |
3.7%
|
| 22 | 22. NJOMBE | 85 |
3.1%
|
| 23 | 23. KATAVI | 60 |
2.2%
|
| 24 | 24. SIMIYU | 61 |
2.2%
|
| 25 | 25. GEITA | 89 |
3.3%
|
| 26 | 26. SONGWE | 0 |
0%
|
| 51 | 51. KASKAZINI UNGUJA | 115 |
4.2%
|
| 52 | 52. KUSINI UNGUJA | 13 |
0.5%
|
| 53 | 53. MJINI MAGHARIBI UNGUJA | 65 |
2.4%
|
| 54 | 54. KASKAZINI PEMBA | 133 |
4.9%
|
| 55 | 55. KUSINI PEMBA | 64 |
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.