Intergrated Labour Force Survey 2014
Tanzania Mainland, 2014
Get MicrodataCreated on
Nov 03, 2023
Last modified
Nov 03, 2023
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- Data files
- 2014_ILFS_DATASET
Region (REGION)
Data file: 2014_ILFS_DATASET
Overview
Valid:
47199
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Dodoma | 1633 |
3.5%
|
| 2 | Arusha | 1373 |
2.9%
|
| 3 | Kilimanjaro | 1106 |
2.3%
|
| 4 | Tanga | 1608 |
3.4%
|
| 5 | Morogoro | 1829 |
3.9%
|
| 6 | Pwani | 889 |
1.9%
|
| 7 | Dar es salaam | 18142 |
38.4%
|
| 8 | Lindi | 761 |
1.6%
|
| 9 | Mtwara | 990 |
2.1%
|
| 10 | Ruvuma | 1041 |
2.2%
|
| 11 | Iringa | 854 |
1.8%
|
| 12 | Mbeya | 2462 |
5.2%
|
| 13 | Singida | 827 |
1.8%
|
| 14 | Tabora | 1395 |
3%
|
| 15 | Rukwa | 849 |
1.8%
|
| 16 | Kigoma | 1442 |
3.1%
|
| 17 | Shinyanga | 971 |
2.1%
|
| 18 | Kagera | 1475 |
3.1%
|
| 19 | Mwanza | 2471 |
5.2%
|
| 20 | Mara | 1098 |
2.3%
|
| 21 | Manyara | 962 |
2%
|
| 22 | Njombe | 572 |
1.2%
|
| 23 | Katavi | 315 |
0.7%
|
| 24 | Simiyu | 1058 |
2.2%
|
| 25 | Geita | 1076 |
2.3%
|
| 51 | Kaskazini Unguja | 0 |
0%
|
| 52 | Kusini Unguja | 0 |
0%
|
| 53 | Mjini magharibi | 0 |
0%
|
| 54 | Kaskazini Pemba | 0 |
0%
|
| 55 | Kusini Pemba | 0 |
0%
|
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.