National Panel Survey 2014-2015
Wave 4 - Extended Panel
Tanzania, 2013 - 2016
Get Microdata
Reference ID
TZA_2014_NPS-R4_v03_M_v03_A_EXT
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
May 20, 2019
Last modified
Dec 14, 2022
Page views
113585
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- Data files
- ag_filters
- 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_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
- hh_filters
- 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_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_filters
- 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_11a
- lf_sec_11b
- lf_sec_12
- lf_sec_13a
- lf_sec_13b
- lf_sec_a
- hh_sec_a
- consumptionnps4_extended_panel
Ward Name (lf_a03_2)
Data file: lf_sec_a
Overview
Valid:
401
Invalid:
0
Type:
Discrete
Start:
51
End:
71
Width:
21
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BAKOBA | 3 |
0.7%
|
|
| BOMA | 1 |
0.2%
|
|
| BUCHAMBI | 2 |
0.5%
|
|
| BUHUNDA | 1 |
0.2%
|
|
| BUKIMA | 8 |
2%
|
|
| BUKUMI | 1 |
0.2%
|
|
| BUMBILE | 1 |
0.2%
|
|
| BUMBWISUD | 1 |
0.2%
|
|
| BWANGA | 1 |
0.2%
|
|
| BWASI | 1 |
0.2%
|
|
| BWELEO | 5 |
1.2%
|
|
| CHANGAWENI | 3 |
0.7%
|
|
| CHANIKA | 15 |
3.7%
|
|
| CHARAMBE | 2 |
0.5%
|
|
| CHIKOLOPOLA | 1 |
0.2%
|
|
| DIONGOYA | 1 |
0.2%
|
|
| DOMA | 1 |
0.2%
|
|
| GYEKRUM ARUSHA | 2 |
0.5%
|
|
| IDAHINA | 1 |
0.2%
|
|
| IDETE | 3 |
0.7%
|
|
| IDUDUMO | 1 |
0.2%
|
|
| IGULWA | 1 |
0.2%
|
|
| IGWAMANONI | 9 |
2.2%
|
|
| ILANGALA | 1 |
0.2%
|
|
| ILEMBO | 5 |
1.2%
|
|
| ILUJAMATE | 2 |
0.5%
|
|
| INJUGANYONDO | 1 |
0.2%
|
|
| ISANGA | 1 |
0.2%
|
|
| ISUTO | 1 |
0.2%
|
|
| ITAWA | 3 |
0.7%
|
|
| ITAWA(ISUTO) | 2 |
0.5%
|
|
| ITAWA[ISUTO] | 1 |
0.2%
|
|
| ITAWA{ISUTO} | 1 |
0.2%
|
|
| IWIJI | 1 |
0.2%
|
|
| JAMHURI | 6 |
1.5%
|
|
| KAGONDO | 1 |
0.2%
|
|
| KAGU | 1 |
0.2%
|
|
| KALABAIGAINE | 1 |
0.2%
|
|
| KAMBI KATOTO | 1 |
0.2%
|
|
| KAMENA | 1 |
0.2%
|
|
| KARAGAINE | 1 |
0.2%
|
|
| KASAMBIA | 1 |
0.2%
|
|
| KASHARUNGA | 5 |
1.2%
|
|
| KATANGARA MRERE | 1 |
0.2%
|
|
| KATANGARA/MRERE | 3 |
0.7%
|
|
| KAWE | 1 |
0.2%
|
|
| KELEMFUA | 1 |
0.2%
|
|
| KEMONDO | 1 |
0.2%
|
|
| KIBETA | 6 |
1.5%
|
|
| KIDARU | 1 |
0.2%
|
|
| KIGOGO | 1 |
0.2%
|
|
| KIGOGO M'BUYUNI | 1 |
0.2%
|
|
| KIHESA | 1 |
0.2%
|
|
| KIHONDA | 2 |
0.5%
|
|
| KIKEO | 7 |
1.7%
|
|
| KILANDO | 1 |
0.2%
|
|
| KILIMARONDO | 5 |
1.2%
|
|
| KILOKA | 1 |
0.2%
|
|
| KINAMWIGULU | 1 |
0.2%
|
|
| KIOMONI | 1 |
0.2%
|
|
| KIPAWA | 1 |
0.2%
|
|
| KIRANDO | 4 |
1%
|
|
| KISHINDA | 1 |
0.2%
|
|
| KISIRIRI | 10 |
2.5%
|
|
| KISIWANI | 1 |
0.2%
|
|
| KITETE | 2 |
0.5%
|
|
| KITIRIWA KINGACHI | 1 |
0.2%
|
|
| KITOMONDO | 1 |
0.2%
|
|
| KIZARA | 1 |
0.2%
|
|
| KOLOMIJE | 1 |
0.2%
|
|
| KUNDUCHI | 1 |
0.2%
|
|
| KWAKOA | 6 |
1.5%
|
|
| LIHIMALYAO | 1 |
0.2%
|
|
| LITUHI | 8 |
2%
|
|
| LIULI | 1 |
0.2%
|
|
| LUCHINGU | 3 |
0.7%
|
|
| LUDETE | 1 |
0.2%
|
|
| MACHUI | 1 |
0.2%
|
|
| MADAGANYA | 1 |
0.2%
|
|
| MADANGWA | 2 |
0.5%
|
|
| MAGAGULA | 1 |
0.2%
|
|
| MAGOMENI | 2 |
0.5%
|
|
| MAGU MJINI | 1 |
0.2%
|
|
| MAJOHE | 1 |
0.2%
|
|
| MAKANGARAWE | 1 |
0.2%
|
|
| MAKANYA | 1 |
0.2%
|
|
| MAKUBURI | 1 |
0.2%
|
|
| MANGAKA | 1 |
0.2%
|
|
| MAPOSENI | 5 |
1.2%
|
|
| MASHEWA | 1 |
0.2%
|
|
| MASUMBWE | 1 |
0.2%
|
|
| MATIMIRA | 6 |
1.5%
|
|
| MATOMBONDO/MLEMBULE | 1 |
0.2%
|
|
| MATOMONDO | 2 |
0.5%
|
|
| MATOMONDO/MLEMBULE | 2 |
0.5%
|
|
| MATOMONDO/MULEMBULE | 1 |
0.2%
|
|
| MAVURUNZA | 1 |
0.2%
|
|
| MAZIMBU(CHAMWINO) | 1 |
0.2%
|
|
| MBAGALA KUU | 1 |
0.2%
|
|
| MBAHA | 1 |
0.2%
|
|
| MBEKENYERA | 1 |
0.2%
|
|
| MBEMBALEO | 1 |
0.2%
|
|
| MBOMOLE | 5 |
1.2%
|
|
| MCHOLI 1 | 2 |
0.5%
|
|
| MCHOLI II | 1 |
0.2%
|
|
| MERERANI | 3 |
0.7%
|
|
| MIGONGO | 3 |
0.7%
|
|
| MILANGO MINNE | 1 |
0.2%
|
|
| MILINGANO | 12 |
3%
|
|
| MINGUMBI | 1 |
0.2%
|
|
| MISALAI | 4 |
1%
|
|
| MISALAI (MBOMOLE) | 1 |
0.2%
|
|
| MITEJA | 1 |
0.2%
|
|
| MJI MWEMA | 1 |
0.2%
|
|
| MKIMBIZI | 3 |
0.7%
|
|
| MKULULU | 8 |
2%
|
|
| MKUZI | 1 |
0.2%
|
|
| MKWAJUNI | 2 |
0.5%
|
|
| MLONDWE | 1 |
0.2%
|
|
| MNDUMBWE | 1 |
0.2%
|
|
| MPARAMAWE | 1 |
0.2%
|
|
| MRERE | 3 |
0.7%
|
|
| MTENGA | 1 |
0.2%
|
|
| MTOA | 5 |
1.2%
|
|
| MTONGA | 1 |
0.2%
|
|
| MTONYA | 2 |
0.5%
|
|
| MTWANGO | 2 |
0.5%
|
|
| MTWIVILA | 2 |
0.5%
|
|
| MURANGI | 1 |
0.2%
|
|
| MUSALAI | 1 |
0.2%
|
|
| MWAKILYAMBITI | 1 |
0.2%
|
|
| MWALUSHU | 1 |
0.2%
|
|
| MWAMASHIMBA | 14 |
3.5%
|
|
| MWANAKWEREKWE | 1 |
0.2%
|
|
| MWANGA | 2 |
0.5%
|
|
| MWANGATA | 1 |
0.2%
|
|
| MZIMUNI KISIWANI | 1 |
0.2%
|
|
| NAISINYAI | 3 |
0.7%
|
|
| NAMANYELE | 3 |
0.7%
|
|
| NAMANYERE | 7 |
1.7%
|
|
| NDAMA | 5 |
1.2%
|
|
| NGULIGULI | 2 |
0.5%
|
|
| NITEKELA | 1 |
0.2%
|
|
| NKASI | 1 |
0.2%
|
|
| NKOME | 1 |
0.2%
|
|
| NYAKALILO | 1 |
0.2%
|
|
| NYAMIDAHO | 9 |
2.2%
|
|
| NYANGUGE | 1 |
0.2%
|
|
| NYANKENDE | 2 |
0.5%
|
|
| NYASUBI | 1 |
0.2%
|
|
| NYIGOGO | 2 |
0.5%
|
|
| NYIGOO | 1 |
0.2%
|
|
| PARANGA | 6 |
1.5%
|
|
| RUHUWIKO | 1 |
0.2%
|
|
| RUSOLI | 1 |
0.2%
|
|
| SARANGA | 4 |
1%
|
|
| SEGESE | 1 |
0.2%
|
|
| SENGA | 8 |
2%
|
|
| SHITAGE | 11 |
2.7%
|
|
| SHUMBA MJINI | 1 |
0.2%
|
|
| SIRARI | 1 |
0.2%
|
|
| SUKUMA | 1 |
0.2%
|
|
| SUNGUZWI | 1 |
0.2%
|
|
| TINGI | 2 |
0.5%
|
|
| TULYA | 1 |
0.2%
|
|
| TUMBE MASHARIKI | 1 |
0.2%
|
|
| TUNDUMA | 1 |
0.2%
|
|
| TUNGI | 1 |
0.2%
|
|
| TUTUO | 1 |
0.2%
|
|
| UFUKONI | 1 |
0.2%
|
|
| UGOGONI | 1 |
0.2%
|
|
| UKONGA | 1 |
0.2%
|
|
| ULEWE | 3 |
0.7%
|
|
| ULINJI | 1 |
0.2%
|
|
| WENDELE | 1 |
0.2%
|
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.