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
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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
LIST ALL FRUIT TREES REPORTED IN SECTION 6A (zaoname)
Data file: ag_sec_7b
Overview
Valid:
627
Invalid:
0
Type:
Discrete
Start:
13
End:
30
Width:
18
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| CALPTUS | 1 |
0.2%
|
|
| CHAI | 1 |
0.2%
|
|
| CHIKICHI | 8 |
1.3%
|
|
| GREVELA | 1 |
0.2%
|
|
| HILIKI | 12 |
1.9%
|
|
| KAHAWA | 45 |
7.2%
|
|
| KARAFUU | 15 |
2.4%
|
|
| KOROSHO | 53 |
8.5%
|
|
| KUNI | 9 |
1.4%
|
|
| KWEME | 5 |
0.8%
|
|
| MBAAZI | 9 |
1.4%
|
|
| MBALALE-KUNI | 1 |
0.2%
|
|
| MBAO | 9 |
1.4%
|
|
| MBUYU | 1 |
0.2%
|
|
| MCHAICHAI | 1 |
0.2%
|
|
| MCHIKICHI | 8 |
1.3%
|
|
| MDALASINI | 14 |
2.2%
|
|
| MIAROBAINI | 1 |
0.2%
|
|
| MIARUBAINI | 1 |
0.2%
|
|
| MIBOYO | 1 |
0.2%
|
|
| MICHIKICHI | 3 |
0.5%
|
|
| MIHOGO | 201 |
32.1%
|
|
| MIHUMULA | 2 |
0.3%
|
|
| MIJOORO MIAROBAINI | 1 |
0.2%
|
|
| MIKALUTUSI | 1 |
0.2%
|
|
| MIKARATUSI | 1 |
0.2%
|
|
| MIKOROSHO | 5 |
0.8%
|
|
| MILINGOTI | 1 |
0.2%
|
|
| MILUKINA | 1 |
0.2%
|
|
| MINAZI | 5 |
0.8%
|
|
| MIPAINA | 1 |
0.2%
|
|
| MIRUMBA | 1 |
0.2%
|
|
| MISONOBARI | 1 |
0.2%
|
|
| MITI YA DAWA | 2 |
0.3%
|
|
| MITI YA KUNI | 12 |
1.9%
|
|
| MITI YA MBAO | 52 |
8.3%
|
|
| MITI YA MIGUNGA | 1 |
0.2%
|
|
| MITI YA UZIO | 2 |
0.3%
|
|
| MITIKI | 2 |
0.3%
|
|
| MITOMO | 1 |
0.2%
|
|
| MIWA | 49 |
7.8%
|
|
| MKESHIA | 1 |
0.2%
|
|
| MKONGE | 7 |
1.1%
|
|
| MKOROSHO | 3 |
0.5%
|
|
| MKWAJU | 9 |
1.4%
|
|
| MNAZI | 8 |
1.3%
|
|
| MPIRA | 1 |
0.2%
|
|
| MSONGAMA | 1 |
0.2%
|
|
| MTI WA KUNI | 1 |
0.2%
|
|
| MTI WA MBAO | 2 |
0.3%
|
|
| MTIKI | 1 |
0.2%
|
|
| MUHUMULA | 2 |
0.3%
|
|
| MULUMBA | 1 |
0.2%
|
|
| NAZI | 32 |
5.1%
|
|
| PAINA | 3 |
0.5%
|
|
| PILIPILI MANGA | 9 |
1.4%
|
|
| UBUYU | 1 |
0.2%
|
|
| VIAZI VIKUU | 4 |
0.6%
|
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.