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
Region Name (lf_a01_2)
Data file: lf_sec_a
Overview
Valid:
401
Invalid:
0
Type:
Discrete
Start:
12
End:
27
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARUSHA | 2 |
0.5%
|
|
| D'SALAAM | 1 |
0.2%
|
|
| DAR ES SALAAM | 16 |
4%
|
|
| DAR-ES-SALAAM | 4 |
1%
|
|
| DODOMA | 12 |
3%
|
|
| GEITA | 15 |
3.7%
|
|
| IRINGA | 10 |
2.5%
|
|
| KAGERA | 30 |
7.5%
|
|
| KASKAZINI PEMBA | 2 |
0.5%
|
|
| KASKAZINI U | 1 |
0.2%
|
|
| KASKAZINI UNGUJA | 1 |
0.2%
|
|
| KIGOMA | 9 |
2.2%
|
|
| KILIMANJARO | 17 |
4.2%
|
|
| KUSINI PEMBA | 3 |
0.7%
|
|
| LINDI | 19 |
4.7%
|
|
| MANYARA | 6 |
1.5%
|
|
| MARA | 13 |
3.2%
|
|
| MBEYA | 16 |
4%
|
|
| MJINI MAGHARIBI | 5 |
1.2%
|
|
| MJINI MAGHARIBI UNGUJA | 2 |
0.5%
|
|
| MKOA WA KUSINI UNGUJA | 1 |
0.2%
|
|
| MOROGORO | 18 |
4.5%
|
|
| MTWARA | 26 |
6.5%
|
|
| MWANZA | 14 |
3.5%
|
|
| NJOMBE | 1 |
0.2%
|
|
| PWANI | 3 |
0.7%
|
|
| RUKWA | 18 |
4.5%
|
|
| RUVUMA | 26 |
6.5%
|
|
| SHINYANGA | 18 |
4.5%
|
|
| SIMIYU | 21 |
5.2%
|
|
| SINGIDA | 17 |
4.2%
|
|
| TABORA | 16 |
4%
|
|
| TANGA | 38 |
9.5%
|
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.