National Panel Survey 2012-2013, Wave 3
Tanzania, 2012 - 2013
Get Microdata
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
388444
Downloads
50505
- 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
Region Name (lf_a01_2)
Data file: LF_SEC_A
Overview
Valid:
2288
Invalid:
0
Type:
Discrete
Start:
12
End:
27
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARUSHA | 84 |
3.7%
|
|
| DAR ES SALAAM | 144 |
6.3%
|
|
| DODOMA | 63 |
2.8%
|
|
| IRINGA | 86 |
3.8%
|
|
| KAGERA | 139 |
6.1%
|
|
| KASKAZINI PEMBA | 19 |
0.8%
|
|
| KASKAZINI UNGUJA | 28 |
1.2%
|
|
| KIGOMA | 85 |
3.7%
|
|
| KILIMANJARO | 104 |
4.5%
|
|
| KUSINI PEMBA | 25 |
1.1%
|
|
| KUSINI UNGUJA | 24 |
1%
|
|
| LINDI | 117 |
5.1%
|
|
| MANYARA | 71 |
3.1%
|
|
| MARA | 59 |
2.6%
|
|
| MBEYA | 117 |
5.1%
|
|
| MJINI MAGHARIBI | 20 |
0.9%
|
|
| MOROGORO | 63 |
2.8%
|
|
| MTWARA | 155 |
6.8%
|
|
| MWANZA | 161 |
7%
|
|
| PWANI | 59 |
2.6%
|
|
| RUKWA | 67 |
2.9%
|
|
| RUVUMA | 101 |
4.4%
|
|
| SHINYANGA | 192 |
8.4%
|
|
| SINGIDA | 45 |
2%
|
|
| TABORA | 140 |
6.1%
|
|
| TANGA | 120 |
5.2%
|
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.