Household Budget Survey 2017-2018
Tanzania, 2017 - 2018
Get MicrodataCreated on
Mar 04, 2022
Last modified
May 15, 2022
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- Data files
-
HBS 2017-18
_Final_Individual_Data -
HBS 2017-18
_Final_Poverty+Individual_Data -
HBS_2017-18
Consumption
Aggregate and
Poverty
Analysis
Variables - S10A1
- S10B1
- S10C1
- S10D1
- S10E1
- S10F1
- S10G1
- S11A1
- S12B1
- S12C1
- S12D_11
- S12D_21
- S12D_31
- S12E1
- S12F1
- S12G_11
- S12G_21
- S13A1
- S13B1
- S14A1
- S14B1
- S14C1
- S15A1
- S15B1
- S15C1
- S15D1
- S16A1
- S16B1
- S17A1
- S17B1
- S17Bo1
- S17C1
- S17D1
- S17E1
- S18A1
- S18B1
- S19A1
- S19B1
- S19C1
- S19D1
- S19E1
- S20A1
- S20B1
- S20C1
- S20D1
- S20E1
- S20F1
- S20G1
- S21A1
- S21B1
- S21C1
- S21D1
- S22A1
- S22B1
- S23_1
- S24A1
- S24B1
- S25A1
- S25B1
- S26FoodConsumed1
4.2. In which region were %rostertitle% born? (S4_2)
Data file: HBS 2017-18 _Final_Poverty+Individual_Data
Overview
Valid:
45777
Invalid:
149
Minimum:
1
Maximum:
55
Type:
Discrete
Decimal:
0
Start:
649
End:
650
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Literal question
Section 4: Citizenship and Migration
In which region and district was [NAME] born? - Region Name
In which region and district was [NAME] born? - Region Name
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA | 1620 |
3.5%
|
| 2 | ARUSHA | 1762 |
3.8%
|
| 3 | KILIMANJARO | 1782 |
3.9%
|
| 4 | TANGA | 1968 |
4.3%
|
| 5 | MOROGORO | 1552 |
3.4%
|
| 6 | PWANI | 1043 |
2.3%
|
| 7 | DAR ES SALAAM | 1967 |
4.3%
|
| 8 | LINDI | 1178 |
2.6%
|
| 9 | MTWARA | 1233 |
2.7%
|
| 10 | RUVUMA | 1284 |
2.8%
|
| 11 | IRINGA | 1328 |
2.9%
|
| 12 | MBEYA | 1969 |
4.3%
|
| 13 | SINGIDA | 1598 |
3.5%
|
| 14 | TABORA | 1982 |
4.3%
|
| 15 | RUKWA | 1595 |
3.5%
|
| 16 | KIGOMA | 1818 |
4%
|
| 17 | SHINYANGA | 2839 |
6.2%
|
| 18 | KAGERA | 1945 |
4.2%
|
| 19 | MWANZA | 2866 |
6.3%
|
| 20 | MARA | 2537 |
5.5%
|
| 21 | MANYARA | 1417 |
3.1%
|
| 22 | NJOMBE | 1208 |
2.6%
|
| 23 | KATAVI | 1287 |
2.8%
|
| 24 | SIMIYU | 2799 |
6.1%
|
| 25 | GEITA | 2075 |
4.5%
|
| 26 | SONGWE | 1043 |
2.3%
|
| 51 | KASKAZINI UNGUJA | 15 |
0%
|
| 52 | KUSINI UNGUJA | 6 |
0%
|
| 53 | MJINI MAGHARIBI | 10 |
0%
|
| 54 | KASKAZINI PEMBA | 43 |
0.1%
|
| 55 | KUSINI PEMBA | 8 |
0%
|
| Sysmiss | 149 |
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.