National Panel Survey 2010-2011, Wave 2
Tanzania, 2010 - 2011
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Reference ID
TZA_2010_NPS-R2_v03_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Oct 10, 2012
Last modified
Mar 13, 2019
Page views
375631
Downloads
33957
- Data files
- AG_SEC01
- AG_FILTERS
- AG_NETWORK
- AG_SEC2A
- AG_SEC2B
- AG_SEC3A
- AG_SEC3B
- AG_SEC4A
- AG_SEC4B
- AG_SEC5A
- AG_SEC5B
- AG_SEC6A
- AG_SEC6B
- AG_SEC7A
- AG_SEC7B
- AG_SEC8A
- AG_SEC8B
- AG_SEC8C
- AG_SEC09
- AG_SEC10A
- AG_SEC10B
- AG_SEC10C
- AG_SEC11
- AG_SEC12A
- AG_SEC12B
- Plot.Geovariables_Y2
- COMSEC_CA
- COMSEC_CB
- COMSEC_CD
- COMSEC_CE
- COMSEC_CF
- COMSEC_CG
- COMSEC_CH
- COMSEC_CI
- COMSEC_CJ
- TZY2.EA.Offsets
- FS_B1
- FS_C1
- FS_D1
- FS_D2
- FS_D3
- FS_E1
- FS_E2
- FS_E3
- FS_F
- FS_FILTERS
- FS_G
- FS_H1
- FS_H2
- FS_H3
- FS_I
- FS_J1
- FS_J2
- FS_J3
- FS_K1
- FS_K2
- FS_K3
- FS_L
- FS_M
- FS_N1
- FS_N2
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E1
- HH_SEC_E2
- HH_SEC_F
- HH_SEC_FILTERS
- HH_SEC_G
- HH_SEC_H1
- HH_SEC_H2
- HH_SEC_H3
- HH_SEC_I1
- HH_SEC_I2
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_K1
- HH_SEC_K2
- HH_SEC_K3
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U
- HH_SEC_V2
- TZY1.HH.Consumption
- TZY2.HH.Consumption
- HH.Geovariables_Y2
- comsec_cc
From which ID_DISTRICT did you move? - ID_REGION (hh_b26_2)
Data file: HH_SEC_B
Overview
Valid:
5328
Invalid:
15231
Type:
Discrete
Decimal:
0
Start:
84
End:
85
Width:
2
Range:
1 - 55
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Dodoma | 122 |
2.3%
|
| 2 | Arusha | 117 |
2.2%
|
| 3 | Kilimanjaro | 205 |
3.8%
|
| 4 | Tanga | 211 |
4%
|
| 5 | Morogoro | 195 |
3.7%
|
| 6 | Pwani | 192 |
3.6%
|
| 7 | Dar es salaam | 1212 |
22.7%
|
| 8 | Lindi | 224 |
4.2%
|
| 9 | Mtwara | 292 |
5.5%
|
| 10 | Ruvuma | 98 |
1.8%
|
| 11 | Iringa | 160 |
3%
|
| 12 | Mbeya | 172 |
3.2%
|
| 13 | Singida | 103 |
1.9%
|
| 14 | Tabora | 222 |
4.2%
|
| 15 | Rukwa | 65 |
1.2%
|
| 16 | Kigoma | 97 |
1.8%
|
| 17 | Shinyanga | 306 |
5.7%
|
| 18 | Kagera | 166 |
3.1%
|
| 19 | Mwanza | 321 |
6%
|
| 20 | Mara | 132 |
2.5%
|
| 21 | Manyara | 74 |
1.4%
|
| 51 | KASKAZINI UNGUJA | 80 |
1.5%
|
| 52 | KUSINI UNGUJA | 56 |
1.1%
|
| 53 | MJINI/MAGHARIBI UNGUJA | 265 |
5%
|
| 54 | KASKAZINI PEMBA | 108 |
2%
|
| 55 | KUSINI PEMBA | 133 |
2.5%
|
| Sysmiss | 15231 |
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.