National Panel Survey 2014-2015, Wave 4
Tanzania, 2014 - 2015
Get Microdata
Reference ID
TZA_2014_NPS-R4_v03_M
Producer(s)
National Bureau of Statistics
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
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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
- hh_filters
- hh_sec_a
- 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
- npsy4.child.anthro
- npsy4.ea.offset
- LF_SEC_10
- 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
- consumptionNPS4
LIST ALL FRUIT TREES REPORTED IN SECTION 6A (zaoname)
Data file: ag_sec_7a
Overview
Valid:
2889
Invalid:
0
Type:
Discrete
Start:
14
End:
28
Width:
15
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| APPLE | 3 |
0.1%
|
|
| BUTUNDA | 1 |
0%
|
|
| ELIMU | 1 |
0%
|
|
| EMBE | 625 |
21.6%
|
|
| EMBE NG'ONG'O | 1 |
0%
|
|
| EMBE NG'ONGO | 3 |
0.1%
|
|
| FENESI | 55 |
1.9%
|
|
| FURSADI | 1 |
0%
|
|
| FURU | 1 |
0%
|
|
| KOMAMANGA | 10 |
0.3%
|
|
| LIMAO | 20 |
0.7%
|
|
| LIMAU | 29 |
1%
|
|
| MACHUNGWA | 212 |
7.3%
|
|
| MAEMBE | 1 |
0%
|
|
| MAFYOKS | 13 |
0.4%
|
|
| MAFYURISI | 1 |
0%
|
|
| MAGOGWE | 2 |
0.1%
|
|
| MALIMAO | 18 |
0.6%
|
|
| MALIMAU | 14 |
0.5%
|
|
| MANYAMBWITA | 1 |
0%
|
|
| MAPERA | 1 |
0%
|
|
| MAPESHENI | 40 |
1.4%
|
|
| MAPINIGES | 1 |
0%
|
|
| MASHELISHELI | 1 |
0%
|
|
| MASTAFELI | 18 |
0.6%
|
|
| MATHOMAS | 1 |
0%
|
|
| MATOFAA | 1 |
0%
|
|
| MATOMASI | 2 |
0.1%
|
|
| MATOPETOPE | 3 |
0.1%
|
|
| MATUNDA | 1 |
0%
|
|
| MATUNDA DAMU | 19 |
0.7%
|
|
| MATUNDA MENGINE | 1 |
0%
|
|
| MATUNDA MUNGU | 1 |
0%
|
|
| MBILIMBI | 2 |
0.1%
|
|
| MBIRIMBI | 1 |
0%
|
|
| MBUYU | 1 |
0%
|
|
| MCHENZA | 58 |
2%
|
|
| MDALANZI | 1 |
0%
|
|
| MDIMU | 3 |
0.1%
|
|
| MFULUSAJI | 1 |
0%
|
|
| MIDIMU | 2 |
0.1%
|
|
| MIFYURIKSI | 1 |
0%
|
|
| MIGOMBA | 225 |
7.8%
|
|
| MIKARANGA | 1 |
0%
|
|
| MILIMAO | 3 |
0.1%
|
|
| MILIMAU | 1 |
0%
|
|
| MIPAPAI | 2 |
0.1%
|
|
| MIPINIGESI | 1 |
0%
|
|
| MISHELISHELI | 1 |
0%
|
|
| MISHOKI SHOKI | 1 |
0%
|
|
| MISTAFELI | 2 |
0.1%
|
|
| MISTAFERI | 1 |
0%
|
|
| MITOPETOPE | 1 |
0%
|
|
| MKOMAMANGA | 1 |
0%
|
|
| MKWAJU | 1 |
0%
|
|
| MLIMANI | 1 |
0%
|
|
| MLIMAO | 13 |
0.4%
|
|
| MLIMAO (LIMAO) | 1 |
0%
|
|
| MLIMAU | 21 |
0.7%
|
|
| MNANASI | 1 |
0%
|
|
| MNDIMU | 3 |
0.1%
|
|
| MSAMBIA | 4 |
0.1%
|
|
| MSTAFELI | 1 |
0%
|
|
| MTOMASI | 1 |
0%
|
|
| MTONGA | 1 |
0%
|
|
| MTOPETOPE | 2 |
0.1%
|
|
| MUHOGO | 1 |
0%
|
|
| MZAMBARAU | 4 |
0.1%
|
|
| NANASI | 69 |
2.4%
|
|
| NAZI | 1 |
0%
|
|
| NDIMU | 9 |
0.3%
|
|
| NDIZI | 494 |
17.1%
|
|
| NYAMBWITA | 1 |
0%
|
|
| PALALI | 1 |
0%
|
|
| PAPAI | 305 |
10.6%
|
|
| PARACHICHI | 279 |
9.7%
|
|
| PEACHES | 1 |
0%
|
|
| PEASI | 8 |
0.3%
|
|
| PERA | 146 |
5.1%
|
|
| PICHES | 17 |
0.6%
|
|
| PICHEZI | 1 |
0%
|
|
| PINDICASE | 1 |
0%
|
|
| PINGAS | 1 |
0%
|
|
| PINGASES | 1 |
0%
|
|
| PINGESI | 1 |
0%
|
|
| PINIGES | 1 |
0%
|
|
| PINIGESI | 2 |
0.1%
|
|
| PITCHES | 2 |
0.1%
|
|
| SAMBIA | 2 |
0.1%
|
|
| SHARAZI | 1 |
0%
|
|
| SHELISHELI | 1 |
0%
|
|
| SHOKISHOKI | 1 |
0%
|
|
| SITAFELI | 2 |
0.1%
|
|
| STAFELI | 18 |
0.6%
|
|
| SUNGWI | 1 |
0%
|
|
| TENDE | 2 |
0.1%
|
|
| TOPE TOPE | 1 |
0%
|
|
| TOPETOPE | 30 |
1%
|
|
| UKWAJU | 1 |
0%
|
|
| UTORONGONI | 1 |
0%
|
|
| VANILLA | 1 |
0%
|
|
| VINYAMBWITA | 1 |
0%
|
|
| ZABIBU | 2 |
0.1%
|
|
| ZAITUNI | 1 |
0%
|
|
| ZAMBARAO | 2 |
0.1%
|
|
| ZAMBARAU | 13 |
0.4%
|
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.