National Panel Survey 2014-2015
Wave 4 - Extended Panel
Tanzania, 2013 - 2016
Get MicrodataCreated on
Jan 16, 2021
Last modified
Feb 06, 2023
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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
Unique ID for sampling stratum (strataid)
Data file: hh_sec_a
Overview
Valid:
989
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
17
End:
18
Width:
2
Range:
1 - 51
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | DODOMA - URBAN | 56 |
5.7%
|
| 2 | DODOMA - RURAL | 0 |
0%
|
| 3 | ARUSHA - URBAN | 29 |
2.9%
|
| 4 | ARUSHA - RURAL | 187 |
18.9%
|
| 5 | KILIMANJARO - URBAN | 59 |
6%
|
| 6 | KILIMANJARO - RURAL | 42 |
4.2%
|
| 7 | TANGA - URBAN | 114 |
11.5%
|
| 8 | TANGA - RURAL | 35 |
3.5%
|
| 9 | MOROGORO - URBAN | 89 |
9%
|
| 10 | MOROGORO - RURAL | 26 |
2.6%
|
| 11 | PWANI - URBAN | 97 |
9.8%
|
| 12 | PWANI - RURAL | 60 |
6.1%
|
| 13 | DAR ES SALAAM | 90 |
9.1%
|
| 14 | LINDI - URBAN | 22 |
2.2%
|
| 15 | LINDI - RURAL | 51 |
5.2%
|
| 16 | MTWARA - URBAN | 32 |
3.2%
|
| 17 | MTWARA - RURAL | 0 |
0%
|
| 18 | RUVUMA - URBAN | 0 |
0%
|
| 19 | RUVUMA - RURAL | 0 |
0%
|
| 20 | IRINGA - URBAN | 0 |
0%
|
| 21 | IRINGA - RURAL | 0 |
0%
|
| 22 | MBEYA - URBAN | 0 |
0%
|
| 23 | MBEYA - RURAL | 0 |
0%
|
| 24 | SINGIDA - URBAN | 0 |
0%
|
| 25 | SINGIDA - RURAL | 0 |
0%
|
| 26 | TABORA - URBAN | 0 |
0%
|
| 27 | TABORA - RURAL | 0 |
0%
|
| 28 | RUKWA - URBAN | 0 |
0%
|
| 29 | RUKWA - RURAL | 0 |
0%
|
| 30 | KIGOMA - URBAN | 0 |
0%
|
| 31 | KIGOMA - RURAL | 0 |
0%
|
| 32 | SHINYANGA - URBAN | 0 |
0%
|
| 33 | SHINYANGA - RURAL | 0 |
0%
|
| 34 | KAGERA - URBAN | 0 |
0%
|
| 35 | KAGERA - RURAL | 0 |
0%
|
| 36 | MWANZA - URBAN | 0 |
0%
|
| 37 | MWANZA - RURAL | 0 |
0%
|
| 38 | MARA - URBAN | 0 |
0%
|
| 39 | MARA - RURAL | 0 |
0%
|
| 40 | MANYARA - URBAN | 0 |
0%
|
| 41 | MANYARA - RURAL | 0 |
0%
|
| 42 | NJOMBE - URBAN | 0 |
0%
|
| 43 | NJOMBE - RURAL | 0 |
0%
|
| 44 | KATAVI - URBAN | 0 |
0%
|
| 45 | KATAVI - RURAL | 0 |
0%
|
| 46 | SIMIYU - URBAN | 0 |
0%
|
| 47 | SIMIYU - RURAL | 0 |
0%
|
| 48 | GEITA - URBAN | 0 |
0%
|
| 49 | GEITA - RURAL | 0 |
0%
|
| 50 | ZANZIBAR - URBAN | 0 |
0%
|
| 51 | ZANZIBAR - RURAL | 0 |
0%
|
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.