National Panel Survey 2012-2013, Wave 3
Tanzania, 2012 - 2013
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Reference ID
TZA_2012_NPS-R3_v01_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
379554
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- Data files
- AG_NETWORK
- AG_SEC_01
- AG_SEC_2A
- AG_SEC_2B
- AG_SEC_3A
- AG_SEC_3B
- AG_SEC_4A
- AG_SEC_4B
- AG_SEC_5A
- AG_SEC_5B
- AG_SEC_6A
- AG_SEC_6B
- AG_SEC_7A
- AG_SEC_7B
- AG_SEC_08
- AG_SEC_9A
- AG_SEC_9B
- AG_SEC_9C
- AG_SEC_10
- AG_SEC_11
- AG_SEC_12A
- AG_SEC_12B
- AG_SEC_A
- COM_SEC_A1A2
- COM_SEC_CB
- COM_SEC_CC
- COM_SEC_CD
- COM_SEC_CE
- COM_SEC_CF
- COM_SEC_CF_ID
- COM_SEC_CG
- ConsumptionNPS3
- FILTERS
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E
- HH_SEC_F
- HH_SEC_G
- HH_SEC_H
- HH_SEC_I
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_J3
- HH_SEC_J4
- HH_SEC_K
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q1
- HH_SEC_Q2
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U2
- HH_SEC_V
- LF_NETWORK
- LF_SEC_01
- LF_SEC_02
- LF_SEC_03
- LF_SEC_04
- LF_SEC_05
- LF_SEC_06
- LF_SEC_07
- LF_SEC_08
- LF_SEC_09
- LF_SEC_10
- LF_SEC_11A
- LF_SEC_11B
- LF_SEC_12
- LF_SEC_13A
- LF_SEC_13B
- LF_SEC_A
- HouseholdGeovars_Y3
- NPSY3.PANEL.KEY
- PlotGeovars_Y3
- Y3_weights
In which ID_DISTRICT were you born? - ID_REGION (hh_b29_2)
Data file: HH_SEC_B
Overview
Valid:
8628
Invalid:
16784
Minimum:
1
Maximum:
96
Type:
Discrete
Decimal:
0
Start:
135
End:
136
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA | 174 |
2%
|
| 2 | ARUSHA | 192 |
2.2%
|
| 3 | KILIMANJARO | 418 |
4.8%
|
| 4 | TANGA | 372 |
4.3%
|
| 5 | MOROGORO | 339 |
3.9%
|
| 6 | PWANI | 329 |
3.8%
|
| 7 | DAR ES SALAAM | 717 |
8.3%
|
| 8 | LINDI | 361 |
4.2%
|
| 9 | MTWARA | 514 |
6%
|
| 10 | RUVUMA | 183 |
2.1%
|
| 11 | IRINGA | 307 |
3.6%
|
| 12 | MBEYA | 280 |
3.2%
|
| 13 | SINGIDA | 244 |
2.8%
|
| 14 | TABORA | 455 |
5.3%
|
| 15 | RUKWA | 110 |
1.3%
|
| 16 | KIGOMA | 319 |
3.7%
|
| 17 | SHINYANGA | 844 |
9.8%
|
| 18 | KAGERA | 407 |
4.7%
|
| 19 | MWANZA | 805 |
9.3%
|
| 20 | MARA | 215 |
2.5%
|
| 21 | MANYARA | 131 |
1.5%
|
| 51 | KASKAZINI UNGUJA | 148 |
1.7%
|
| 52 | KUSINI UNGUJA | 89 |
1%
|
| 53 | MJINI/MAGHARIBI UNGUJA | 255 |
3%
|
| 54 | KASKAZINI PEMBA | 191 |
2.2%
|
| 55 | KUSINI PEMBA | 219 |
2.5%
|
| 96 | 10 |
0.1%
|
|
| Sysmiss | 16784 |
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.