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
20.12.3. Where did you go? (COUNTRY ABROAD) - NEEDS CODES (S20_12_3)
Data file: HBS_2017-18 Consumption Aggregate and Poverty Analysis Variables
Overview
Valid:
81
Invalid:
0
Type:
Discrete
Start:
4321
End:
4342
Width:
22
Range:
-
Format:
character
Questions and instructions
Literal question
Section 20: Spare Time
Where did you go ( Country Abroad?
Where did you go ( Country Abroad?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| (Congo) Kareni | 1 |
1.2%
|
|
| +44 | 1 |
1.2%
|
|
| 1 | 5 |
6.2%
|
|
| 2 | 2 |
2.5%
|
|
| Afrka kusini | 1 |
1.2%
|
|
| Augost/2018 | 1 |
1.2%
|
|
| BURUNDI | 1 |
1.2%
|
|
| Burundi | 2 |
2.5%
|
|
| CONGO | 1 |
1.2%
|
|
| CONGO DRC | 1 |
1.2%
|
|
| China | 1 |
1.2%
|
|
| Dubai | 2 |
2.5%
|
|
| Ethiopia | 1 |
1.2%
|
|
| Finland | 1 |
1.2%
|
|
| Hospital | 1 |
1.2%
|
|
| India | 1 |
1.2%
|
|
| KABUYANDA | 1 |
1.2%
|
|
| KENYA | 4 |
4.9%
|
|
| KISUMU- KENYA | 1 |
1.2%
|
|
| KUTEMBELEA NDUGU ZANGU | 1 |
1.2%
|
|
| Kampala | 1 |
1.2%
|
|
| Kenya | 7 |
8.6%
|
|
| Kenya(Nairobi) | 1 |
1.2%
|
|
| MUYINGA-BURUNDI | 1 |
1.2%
|
|
| Malawi | 2 |
2.5%
|
|
| Mpirani | 1 |
1.2%
|
|
| Msumbiji | 3 |
3.7%
|
|
| Nairobi | 2 |
2.5%
|
|
| Rwanda. | 1 |
1.2%
|
|
| SWEEDEN | 1 |
1.2%
|
|
| South Afrika | 1 |
1.2%
|
|
| TAINLAND | 1 |
1.2%
|
|
| Thailand | 1 |
1.2%
|
|
| UGANDA | 2 |
2.5%
|
|
| UKELEWE | 1 |
1.2%
|
|
| Uganda | 2 |
2.5%
|
|
| ZAMBIA | 4 |
4.9%
|
|
| Zambia | 3 |
3.7%
|
|
| Zanzibar | 1 |
1.2%
|
|
| china | 1 |
1.2%
|
|
| hakuna | 2 |
2.5%
|
|
| kisumu | 1 |
1.2%
|
|
| marekani | 1 |
1.2%
|
|
| mombasa(kenya) | 1 |
1.2%
|
|
| msumbiji | 1 |
1.2%
|
|
| nairobi | 1 |
1.2%
|
|
| singida | 1 |
1.2%
|
|
| south africa | 1 |
1.2%
|
|
| ufaransa | 1 |
1.2%
|
|
| uganda | 2 |
2.5%
|
|
| uingereza | 1 |
1.2%
|
|
| zambia | 1 |
1.2%
|
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.