Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / TZA_2015-2019_GGP-P_V01_EN_M_A_OCS / variable [F7]
agricultural-surveys

Good Growth Plan, 2015-2019

United Republic of Tanzania, 2015 - 2019
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Reference ID
TZA_2015-2019_GGP-P_v01_EN_M_A_OCS
Producer(s)
Syngenta
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 17, 2021
Last modified
Feb 17, 2021
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7359
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369

Unique identifier per grower (GrowerID)

Data file: Activities and Machinery (Q382)

Overview

Valid: 2639
Invalid: 0
Type: Discrete
Width: 12
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
47100107 47100107 39
1.5%
47100119 47100119 46
1.7%
47100207 47100207 20
0.8%
47100219 47100219 45
1.7%
47100307 47100307 20
0.8%
47100319 47100319 46
1.7%
47100407 47100407 41
1.6%
47100419 47100419 44
1.7%
47100507 47100507 39
1.5%
47100519 47100519 44
1.7%
47100607 47100607 21
0.8%
47100619 47100619 20
0.8%
47100707 47100707 18
0.7%
47100719 47100719 22
0.8%
47100807 47100807 17
0.6%
47100819 47100819 20
0.8%
47100907 47100907 21
0.8%
47100919 47100919 20
0.8%
47101007 47101007 18
0.7%
47101019 47101019 21
0.8%
47101107 47101107 20
0.8%
47101119 47101119 23
0.9%
47101200 47101200 18
0.7%
47101207 47101207 19
0.7%
47101300 47101300 23
0.9%
47101307 47101307 17
0.6%
47101400 47101400 16
0.6%
47101500 47101500 18
0.7%
47101600 47101600 10
0.4%
47200100 47200100 21
0.8%
47200200 47200200 21
0.8%
47200300 47200300 23
0.9%
47200400 47200400 12
0.5%
47200500 47200500 10
0.4%
47200600 47200600 14
0.5%
47200700 47200700 13
0.5%
47200707 47200707 41
1.6%
47200719 47200719 40
1.5%
47200800 47200800 9
0.3%
47200807 47200807 39
1.5%
47200819 47200819 53
2%
47200900 47200900 11
0.4%
47200907 47200907 43
1.6%
47200919 47200919 39
1.5%
47201000 47201000 8
0.3%
47201007 47201007 19
0.7%
47201019 47201019 24
0.9%
47201100 47201100 24
0.9%
47201107 47201107 36
1.4%
47201119 47201119 45
1.7%
47201207 47201207 20
0.8%
47201219 47201219 45
1.7%
47201307 47201307 37
1.4%
47201319 47201319 24
0.9%
47201407 47201407 41
1.6%
47201419 47201419 25
0.9%
47201507 47201507 19
0.7%
47201519 47201519 44
1.7%
47201607 47201607 37
1.4%
47201619 47201619 43
1.6%
47201700 47201700 10
0.4%
47201707 47201707 37
1.4%
47201719 47201719 45
1.7%
47201800 47201800 7
0.3%
47201807 47201807 39
1.5%
47201819 47201819 24
0.9%
47201900 47201900 12
0.5%
47201907 47201907 20
0.8%
47201919 47201919 45
1.7%
47202000 47202000 17
0.6%
47202007 47202007 32
1.2%
47202019 47202019 46
1.7%
47202100 47202100 16
0.6%
47202107 47202107 17
0.6%
47202119 47202119 46
1.7%
47202200 47202200 16
0.6%
47202207 47202207 38
1.4%
47202219 47202219 24
0.9%
47202300 47202300 14
0.5%
47202307 47202307 40
1.5%
47202319 47202319 44
1.7%
47202400 47202400 6
0.2%
47202407 47202407 42
1.6%
47202419 47202419 23
0.9%
47202500 47202500 9
0.3%
47202507 47202507 35
1.3%
47202519 47202519 41
1.6%
47202607 47202607 21
0.8%
47202619 47202619 46
1.7%
47202707 47202707 35
1.3%
47202719 47202719 23
0.9%
47202807 47202807 17
0.6%
47202819 47202819 24
0.9%
47202907 47202907 20
0.8%
47202919 47202919 37
1.4%
47203007 47203007 21
0.8%
47203019 47203019 24
0.9%
Sysmiss 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.
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