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
115353
Downloads
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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
Region Name (hh_a01_2)
Data file: hh_sec_a
Overview
Valid:
989
Invalid:
0
Type:
Discrete
Start:
48
End:
63
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARUSHA | 27 |
2.7%
|
|
| DAR ES SALAAM | 155 |
15.7%
|
|
| DODOMA | 22 |
2.2%
|
|
| GEITA | 45 |
4.6%
|
|
| IRINGA | 33 |
3.3%
|
|
| KAGERA | 70 |
7.1%
|
|
| KASKAZINI PEMBA | 23 |
2.3%
|
|
| KASKAZINI UNGUJA | 9 |
0.9%
|
|
| KATAVI | 1 |
0.1%
|
|
| KIGOMA | 18 |
1.8%
|
|
| KILIMANJARO | 24 |
2.4%
|
|
| KUSINI PEMBA | 9 |
0.9%
|
|
| KUSINI UNGUJA | 7 |
0.7%
|
|
| LINDI | 35 |
3.5%
|
|
| MANYARA | 8 |
0.8%
|
|
| MARA | 18 |
1.8%
|
|
| MBEYA | 30 |
3%
|
|
| MJINI MAGHARIBI | 33 |
3.3%
|
|
| MOROGORO | 57 |
5.8%
|
|
| MTWARA | 67 |
6.8%
|
|
| MWANZA | 31 |
3.1%
|
|
| NJOMBE | 3 |
0.3%
|
|
| PWANI | 31 |
3.1%
|
|
| RUKWA | 30 |
3%
|
|
| RUVUMA | 42 |
4.2%
|
|
| SHINYANGA | 25 |
2.5%
|
|
| SIMIYU | 22 |
2.2%
|
|
| SINGIDA | 28 |
2.8%
|
|
| TABORA | 32 |
3.2%
|
|
| TANGA | 54 |
5.5%
|
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.