Good Growth Plan, 2015-2019
United Republic of Tanzania, 2015 - 2019
Get Microdata
Reference ID
TZA_2015-2019_GGP-P_v01_EN_M_A_OCS
Producer(s)
Syngenta
Collections
Metadata
Created on
Feb 17, 2021
Last modified
Feb 17, 2021
Page views
17747
Downloads
702
Unique respondent ID (GrowerID)
Data file: Crop_protection
Overview
Valid:
544
Invalid:
0
Type:
Discrete
Width:
12
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 47100107 | 47100107 | 8 |
1.5%
|
| 47100119 | 47100119 | 17 |
3.1%
|
| 47100207 | 47100207 | 4 |
0.7%
|
| 47100219 | 47100219 | 13 |
2.4%
|
| 47100307 | 47100307 | 4 |
0.7%
|
| 47100319 | 47100319 | 11 |
2%
|
| 47100407 | 47100407 | 6 |
1.1%
|
| 47100419 | 47100419 | 11 |
2%
|
| 47100507 | 47100507 | 7 |
1.3%
|
| 47100519 | 47100519 | 8 |
1.5%
|
| 47100607 | 47100607 | 3 |
0.6%
|
| 47100619 | 47100619 | 7 |
1.3%
|
| 47100707 | 47100707 | 3 |
0.6%
|
| 47100719 | 47100719 | 5 |
0.9%
|
| 47100807 | 47100807 | 2 |
0.4%
|
| 47100819 | 47100819 | 6 |
1.1%
|
| 47100907 | 47100907 | 3 |
0.6%
|
| 47100919 | 47100919 | 6 |
1.1%
|
| 47101007 | 47101007 | 2 |
0.4%
|
| 47101019 | 47101019 | 7 |
1.3%
|
| 47101107 | 47101107 | 4 |
0.7%
|
| 47101119 | 47101119 | 4 |
0.7%
|
| 47101200 | 47101200 | 3 |
0.6%
|
| 47101207 | 47101207 | 4 |
0.7%
|
| 47101300 | 47101300 | 10 |
1.8%
|
| 47101307 | 47101307 | 2 |
0.4%
|
| 47101400 | 47101400 | 5 |
0.9%
|
| 47101500 | 47101500 | 5 |
0.9%
|
| 47101600 | 47101600 | 3 |
0.6%
|
| 47200100 | 47200100 | 4 |
0.7%
|
| 47200200 | 47200200 | 4 |
0.7%
|
| 47200300 | 47200300 | 4 |
0.7%
|
| 47200500 | 47200500 | 3 |
0.6%
|
| 47200600 | 47200600 | 2 |
0.4%
|
| 47200700 | 47200700 | 8 |
1.5%
|
| 47200707 | 47200707 | 8 |
1.5%
|
| 47200719 | 47200719 | 13 |
2.4%
|
| 47200800 | 47200800 | 3 |
0.6%
|
| 47200807 | 47200807 | 5 |
0.9%
|
| 47200819 | 47200819 | 6 |
1.1%
|
| 47200907 | 47200907 | 7 |
1.3%
|
| 47200919 | 47200919 | 10 |
1.8%
|
| 47201007 | 47201007 | 3 |
0.6%
|
| 47201019 | 47201019 | 3 |
0.6%
|
| 47201100 | 47201100 | 4 |
0.7%
|
| 47201107 | 47201107 | 6 |
1.1%
|
| 47201119 | 47201119 | 14 |
2.6%
|
| 47201207 | 47201207 | 2 |
0.4%
|
| 47201219 | 47201219 | 11 |
2%
|
| 47201307 | 47201307 | 5 |
0.9%
|
| 47201319 | 47201319 | 9 |
1.7%
|
| 47201407 | 47201407 | 7 |
1.3%
|
| 47201419 | 47201419 | 7 |
1.3%
|
| 47201507 | 47201507 | 3 |
0.6%
|
| 47201519 | 47201519 | 15 |
2.8%
|
| 47201607 | 47201607 | 8 |
1.5%
|
| 47201619 | 47201619 | 8 |
1.5%
|
| 47201707 | 47201707 | 7 |
1.3%
|
| 47201719 | 47201719 | 9 |
1.7%
|
| 47201807 | 47201807 | 4 |
0.7%
|
| 47201819 | 47201819 | 7 |
1.3%
|
| 47201900 | 47201900 | 2 |
0.4%
|
| 47201907 | 47201907 | 3 |
0.6%
|
| 47201919 | 47201919 | 6 |
1.1%
|
| 47202000 | 47202000 | 4 |
0.7%
|
| 47202007 | 47202007 | 5 |
0.9%
|
| 47202019 | 47202019 | 7 |
1.3%
|
| 47202100 | 47202100 | 6 |
1.1%
|
| 47202107 | 47202107 | 3 |
0.6%
|
| 47202119 | 47202119 | 8 |
1.5%
|
| 47202200 | 47202200 | 2 |
0.4%
|
| 47202207 | 47202207 | 5 |
0.9%
|
| 47202219 | 47202219 | 4 |
0.7%
|
| 47202300 | 47202300 | 13 |
2.4%
|
| 47202307 | 47202307 | 4 |
0.7%
|
| 47202319 | 47202319 | 8 |
1.5%
|
| 47202400 | 47202400 | 4 |
0.7%
|
| 47202407 | 47202407 | 7 |
1.3%
|
| 47202419 | 47202419 | 4 |
0.7%
|
| 47202500 | 47202500 | 5 |
0.9%
|
| 47202507 | 47202507 | 5 |
0.9%
|
| 47202519 | 47202519 | 7 |
1.3%
|
| 47202607 | 47202607 | 2 |
0.4%
|
| 47202619 | 47202619 | 9 |
1.7%
|
| 47202707 | 47202707 | 5 |
0.9%
|
| 47202719 | 47202719 | 3 |
0.6%
|
| 47202807 | 47202807 | 2 |
0.4%
|
| 47202819 | 47202819 | 4 |
0.7%
|
| 47202907 | 47202907 | 4 |
0.7%
|
| 47202919 | 47202919 | 11 |
2%
|
| 47203007 | 47203007 | 4 |
0.7%
|
| 47203019 | 47203019 | 6 |
1.1%
|
| 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.