High Frequency Welfare Monitoring Phone Survey 2021-2024
Tanzania, 2021 - 2024
Get Microdata
Reference ID
TZA_2021-2024_HFWMPS_v09_M
Producer(s)
National Bureau of Statistics
Metadata
Created on
Jun 27, 2022
Last modified
Jan 08, 2025
Page views
158755
Downloads
4435
- 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
- r12_sect_1.dta
- r12_sect_1b.dta
- r12_sect_2.dta
- r12_sect_2b.dta
- r12_sect_5.dta
- r12_sect_6.dta
- r12_sect_7.dta
- r12_sect_8.dta
- r12_sect_12b.dta
- r12_sect_a_2_3_4_4a_11_12a_13_10.dta
Which of the following best describes the sector of the business? (s4q05_r4)
Data file: r8_sect_a_2_3_4_4a_11_12a_10.dta
Overview
Valid:
1066
Invalid:
1572
Minimum:
1
Maximum:
9
Type:
Discrete
Decimal:
0
Start:
659
End:
659
Width:
1
Range:
1 - 9
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. AGRICULTURE, HUNTING, FISHING | 128 |
12%
|
| 2 | 2. MINING, MANUFACTURING | 62 |
5.8%
|
| 3 | 3. ELECTRICITY, GAS, WATER SUPPLY | 9 |
0.8%
|
| 4 | 4. CONSTRUCTION | 49 |
4.6%
|
| 5 | 5. BUYING & SELLING GOODS, REPAIR OF GOODS, HOTELS & RESTAURANTS | 575 |
53.9%
|
| 6 | 6. TRANSPORT, DRIVING, POST, TRAVEL AGENCIES | 45 |
4.2%
|
| 7 | 7. PROFESSIONAL ACTIVITIES: FINANCE, LEGAL, ANALYSIS, COMPUTER, REAL ESTATE | 20 |
1.9%
|
| 8 | 8. PUBLIC ADMINISTRATION | 1 |
0.1%
|
| 9 | 9. PERSONAL SERVICES, EDUCATION, HEALTH, CULTURE, SPORT, DOMESTIC WORK, OTHER | 177 |
16.6%
|
| Sysmiss | 1572 |
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.