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
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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
District Name (hh_a02_2)
Data file: HH_SEC_A
Overview
Valid:
5010
Invalid:
0
Type:
Discrete
Start:
75
End:
98
Width:
24
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARUMERU | 39 |
0.8%
|
|
| ARUSHA | 36 |
0.7%
|
|
| ARUSHA MJINI | 9 |
0.2%
|
|
| BABATI | 20 |
0.4%
|
|
| BAGAMOYO | 37 |
0.7%
|
|
| BAHI | 2 |
0%
|
|
| BAHI/DODOMA VIJIJINI | 1 |
0%
|
|
| BARIADI | 22 |
0.4%
|
|
| BIHARAMULO | 22 |
0.4%
|
|
| BUKOBA | 1 |
0%
|
|
| BUKOBA RURAL | 33 |
0.7%
|
|
| BUKOBA URBAN | 33 |
0.7%
|
|
| BUKOMBE | 29 |
0.6%
|
|
| BUNDA | 24 |
0.5%
|
|
| CHAKECHAKE | 68 |
1.4%
|
|
| CHATO | 10 |
0.2%
|
|
| CHUNYA | 42 |
0.8%
|
|
| DODOMA | 1 |
0%
|
|
| DODOMA RURAL | 41 |
0.8%
|
|
| DODOMA URBAN | 33 |
0.7%
|
|
| DODOMA VIJIJINI(BAHI) | 1 |
0%
|
|
| GEITA | 72 |
1.4%
|
|
| GEITA MJINI | 1 |
0%
|
|
| HAI | 30 |
0.6%
|
|
| HANANG | 14 |
0.3%
|
|
| HANDENI | 29 |
0.6%
|
|
| IGUNGA | 62 |
1.2%
|
|
| IKUNGI(SINGIDA VIJIJINI) | 1 |
0%
|
|
| ILALA | 139 |
2.8%
|
|
| ILEJE | 18 |
0.4%
|
|
| ILEMELA | 51 |
1%
|
|
| IRAMBA | 26 |
0.5%
|
|
| IRINGA RURAL | 18 |
0.4%
|
|
| IRINGA URBAN | 35 |
0.7%
|
|
| KAHAMA | 68 |
1.4%
|
|
| KARAGWE | 37 |
0.7%
|
|
| KARATU | 18 |
0.4%
|
|
| KASKAZINI A | 42 |
0.8%
|
|
| KASKAZINI B | 49 |
1%
|
|
| KASULU | 91 |
1.8%
|
|
| KATI | 18 |
0.4%
|
|
| KIBAHA | 17 |
0.3%
|
|
| KIBONDO | 41 |
0.8%
|
|
| KIGOMA RURAL | 36 |
0.7%
|
|
| KIGOMA URBAN | 6 |
0.1%
|
|
| KILINDI | 17 |
0.3%
|
|
| KILOLO | 10 |
0.2%
|
|
| KILOMBERO | 27 |
0.5%
|
|
| KILOSA | 32 |
0.6%
|
|
| KILWA | 61 |
1.2%
|
|
| KILWA MASOKO | 3 |
0.1%
|
|
| KINONDONI | 337 |
6.7%
|
|
| KISARAWE | 9 |
0.2%
|
|
| KISHAPU | 42 |
0.8%
|
|
| KITETO | 10 |
0.2%
|
|
| KONDOA | 10 |
0.2%
|
|
| KONGWA | 25 |
0.5%
|
|
| KOROGWE | 31 |
0.6%
|
|
| KUSINI | 24 |
0.5%
|
|
| KWIMBA | 34 |
0.7%
|
|
| KYELA | 27 |
0.5%
|
|
| LINDI RURAL | 41 |
0.8%
|
|
| LINDI URBAN | 28 |
0.6%
|
|
| LIWALE | 41 |
0.8%
|
|
| LUDEKIA | 1 |
0%
|
|
| LUDEWA | 25 |
0.5%
|
|
| LUSHOTO | 21 |
0.4%
|
|
| MAFIA | 11 |
0.2%
|
|
| MAFINGA | 1 |
0%
|
|
| MAGHARIBI | 152 |
3%
|
|
| MAGU | 56 |
1.1%
|
|
| MAHENGE/ULANGA | 1 |
0%
|
|
| MAKETE | 10 |
0.2%
|
|
| MANYONI | 28 |
0.6%
|
|
| MASASI | 81 |
1.6%
|
|
| MASASI-NAYUMBU | 1 |
0%
|
|
| MASWA | 26 |
0.5%
|
|
| MBARALI | 10 |
0.2%
|
|
| MBEYA RURAL | 23 |
0.5%
|
|
| MBEYA URBAN | 28 |
0.6%
|
|
| MBINGA | 54 |
1.1%
|
|
| MBINGA NYASA | 3 |
0.1%
|
|
| MBOZI | 42 |
0.8%
|
|
| MBOZI (MOMBA) | 3 |
0.1%
|
|
| MBULU | 11 |
0.2%
|
|
| MEATU | 31 |
0.6%
|
|
| MICHEWENI | 42 |
0.8%
|
|
| MIKINDANI | 6 |
0.1%
|
|
| MISENYE | 4 |
0.1%
|
|
| MISUNGWI | 31 |
0.6%
|
|
| MKINGA | 1 |
0%
|
|
| MKOANI | 40 |
0.8%
|
|
| MKURANGA | 19 |
0.4%
|
|
| MOMBA | 1 |
0%
|
|
| MONDULI | 26 |
0.5%
|
|
| MOROGORO RURAL | 13 |
0.3%
|
|
| MOROGORO URBAN | 56 |
1.1%
|
|
| MOSHI RURAL | 30 |
0.6%
|
|
| MOSHI URBAN | 3 |
0.1%
|
|
| MPANDA | 36 |
0.7%
|
|
| MPWAPWA | 20 |
0.4%
|
|
| MTWARA | 2 |
0%
|
|
| MTWARA MIKINDANI | 23 |
0.5%
|
|
| MTWARA RURAL | 79 |
1.6%
|
|
| MTWARA URBAN | 25 |
0.5%
|
|
| MUFINDI | 41 |
0.8%
|
|
| MUHEZA | 24 |
0.5%
|
|
| MULEBA | 36 |
0.7%
|
|
| MUSOMA | 1 |
0%
|
|
| MUSOMA RURAL | 25 |
0.5%
|
|
| MUSOMA URBAN | 8 |
0.2%
|
|
| MVOMERO | 41 |
0.8%
|
|
| MWANGA | 20 |
0.4%
|
|
| NACHINGWEA | 18 |
0.4%
|
|
| NAMTUMBO | 23 |
0.5%
|
|
| NANYUMBU | 1 |
0%
|
|
| NEWALA | 65 |
1.3%
|
|
| NEWARA | 2 |
0%
|
|
| NGARA | 40 |
0.8%
|
|
| NGORONGORO | 19 |
0.4%
|
|
| NGWALA | 1 |
0%
|
|
| NICHRWENI | 1 |
0%
|
|
| NJOMBE | 19 |
0.4%
|
|
| NJOMBE RURAL | 1 |
0%
|
|
| NJOMBE URBAN | 1 |
0%
|
|
| NKASI | 29 |
0.6%
|
|
| NYAMAGANA | 27 |
0.5%
|
|
| NYASA | 4 |
0.1%
|
|
| NZEGA | 42 |
0.8%
|
|
| PANGANI | 22 |
0.4%
|
|
| ROMBO | 28 |
0.6%
|
|
| RUANGWA | 33 |
0.7%
|
|
| RUFIJI | 28 |
0.6%
|
|
| RUNGWE | 24 |
0.5%
|
|
| RUVUMA MJINI | 1 |
0%
|
|
| SAME | 22 |
0.4%
|
|
| SENGEREMA | 34 |
0.7%
|
|
| SERENGETI | 9 |
0.2%
|
|
| SHINYANGA RURAL | 31 |
0.6%
|
|
| SHINYANGA URBAN | 33 |
0.7%
|
|
| SIKONGE | 52 |
1%
|
|
| SIMANJIRO | 47 |
0.9%
|
|
| SINGIDA RURAL | 12 |
0.2%
|
|
| SINGIDA URBAN | 24 |
0.5%
|
|
| SONGEA | 1 |
0%
|
|
| SONGEA RURAL | 48 |
1%
|
|
| SONGEA URBAN | 12 |
0.2%
|
|
| SUMBAWANGA | 9 |
0.2%
|
|
| SUMBAWANGA RURAL | 25 |
0.5%
|
|
| SUMBAWANGA URBAN | 12 |
0.2%
|
|
| TABORA URBAN | 26 |
0.5%
|
|
| TANDAHIMBA | 45 |
0.9%
|
|
| TANGA | 1 |
0%
|
|
| TANGA URBAN | 20 |
0.4%
|
|
| TARIME | 17 |
0.3%
|
|
| TARIME(RORYA) | 1 |
0%
|
|
| TEMEKE | 294 |
5.9%
|
|
| TUNDURU | 50 |
1%
|
|
| UKEREWE | 17 |
0.3%
|
|
| ULANGA | 21 |
0.4%
|
|
| ULANGA/MAHENGE | 1 |
0%
|
|
| URAMBO | 22 |
0.4%
|
|
| URAMBO (KALIUA) | 5 |
0.1%
|
|
| URBAN | 98 |
2%
|
|
| UYUI | 28 |
0.6%
|
|
| WETE | 60 |
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.