Home / Food and Agriculture Microdata Catalogue / 50X2030 / GNB_2025_LAH_V01_M_V01_A_ESS / variable [F4]
50x2030

Listing of agricultural households 2025

Guinea-Bissau, 2025
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Reference ID
GNB_2025_LAH_v01_M_v01_A_ESS
Producer(s)
General Directorate of Agricultural Planning (Direção Geral da Planificação Agrária)
Collections
50x2030 Surveys
Metadata
DDI/XML JSON
Created on
Aug 31, 2026
Last modified
Sep 14, 2026
Page views
1441
Downloads
183

Census District (CD) (a03)

Data file: listagem_gb

Overview

Valid: 29438
Invalid: 0
Type: Discrete
Width: 7
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
02NzJH0 112
0.4%
0FXdM8o 100
0.3%
0ixFZSn 122
0.4%
0rqIeSh 103
0.3%
0vkvdUW 130
0.4%
10RfKFG 55
0.2%
16yuS3K 208
0.7%
17efQa0 43
0.1%
1MxDBx7 93
0.3%
1Nai2vg 102
0.3%
1b2e8cD 63
0.2%
1slfKtM 326
1.1%
20qROyQ 171
0.6%
2AyEEKF 78
0.3%
2QlcGaf 99
0.3%
2YDu6GO 76
0.3%
2bPrcJR 50
0.2%
2faQpok 62
0.2%
2oHvlU5 120
0.4%
2oKEYk1 54
0.2%
2sLkbgb 64
0.2%
2v9ImK5 85
0.3%
31uvJSU 146
0.5%
3HRKtSV 106
0.4%
3Mj8wvM 84
0.3%
3SzzTZq 62
0.2%
3bHSSa9 78
0.3%
3exUD6r 137
0.5%
3zp1P43 132
0.4%
4Fqz2Io 32
0.1%
4Zepgym 125
0.4%
4v2CRAA 38
0.1%
5RDBILu 94
0.3%
5T1rTNw 114
0.4%
5cBtxPa 125
0.4%
5cq8XwN 71
0.2%
5hjdNaj 162
0.6%
6M18VwR 75
0.3%
6W9N1br 63
0.2%
6b97C84 59
0.2%
6gSfTuk 95
0.3%
7gssk51 196
0.7%
7yi4zp1 90
0.3%
806u324 172
0.6%
8eNHsO2 63
0.2%
8s0a9ao 102
0.3%
8wVmYcI 88
0.3%
9MUnojt 103
0.3%
9NNNf5J 98
0.3%
9fyFN4z 94
0.3%
9zi0cqk 149
0.5%
AQU0rUE 65
0.2%
AXkeb5q 80
0.3%
Aj3ZBjN 88
0.3%
AxOo7hG 55
0.2%
B54AabI 52
0.2%
BAQtXD2 162
0.6%
BLl4Gun 119
0.4%
BXgV3ZU 87
0.3%
Bg97X8w 155
0.5%
ByLWvib 83
0.3%
C9QUF0B 81
0.3%
CE8zL3N 90
0.3%
CNdMHt1 63
0.2%
CTqO5Te 70
0.2%
CY4nsoI 165
0.6%
CbNeaH1 73
0.2%
CkXeQ3v 48
0.2%
D3kU62X 149
0.5%
D5Ry4zR 134
0.5%
D6qsN6X 30
0.1%
DCOhze3 149
0.5%
DINwcMF 140
0.5%
DeC3eeU 80
0.3%
DkTP6oT 70
0.2%
DmKZizU 79
0.3%
E2bBKh6 100
0.3%
E5OIUsp 32
0.1%
EJ5cBL4 103
0.3%
ESXFwy7 104
0.4%
EctIJFf 152
0.5%
FDtXxOY 50
0.2%
FV2nl7a 161
0.5%
FflhD0x 31
0.1%
G0h3b2n 91
0.3%
G8qGrwC 110
0.4%
GFJCdmx 104
0.4%
GSpyBpc 75
0.3%
GZ8s5zD 91
0.3%
HIb7Vx0 63
0.2%
HO2uBGm 69
0.2%
HSdTKA4 107
0.4%
HVTNTeA 79
0.3%
HyAK22G 83
0.3%
I52CK9C 102
0.3%
IJGp1Z0 114
0.4%
IWCBQ0d 183
0.6%
IgLn0aC 95
0.3%
Ijmv9iA 109
0.4%
ImjjGUc 140
0.5%
IoI1b78 122
0.4%
Jr9w3A1 170
0.6%
KF3lCbV 95
0.3%
KNFCqft 53
0.2%
KNrNVtc 41
0.1%
KmJgr9m 106
0.4%
L5kROii 99
0.3%
LL4jCuq 20
0.1%
LXHYJcz 80
0.3%
Lf7oEx6 129
0.4%
Lgsfute 119
0.4%
MC01snU 80
0.3%
MCr5DKi 100
0.3%
MGw6w7Y 80
0.3%
MVyihWY 77
0.3%
MYMAIVf 141
0.5%
MhnSqgp 88
0.3%
Mm8jKar 119
0.4%
MmixzIS 71
0.2%
Mo10T31 125
0.4%
N6GsJ68 46
0.2%
N9B8lpj 147
0.5%
NAoboVR 86
0.3%
NYFe6yM 162
0.6%
NoctsJz 90
0.3%
NprmuEX 94
0.3%
Nw1mZgr 203
0.7%
O0PxMBv 48
0.2%
OZjHpgQ 59
0.2%
Ob5zOmn 71
0.2%
Oh2oaFo 59
0.2%
OidGomK 69
0.2%
OxoHL5B 50
0.2%
P4IzbqP 97
0.3%
P6mLzCv 109
0.4%
P9ZTpzI 314
1.1%
PQCgnhh 86
0.3%
PT58T20 32
0.1%
PUCXSZQ 51
0.2%
PUlyXBL 62
0.2%
PWYYHbw 130
0.4%
PjtBvya 133
0.5%
PnQtqcP 104
0.4%
Q2klMLk 73
0.2%
QBUn0nL 113
0.4%
QVQMAB6 45
0.2%
QWGhCy1 39
0.1%
QeJ3TjQ 113
0.4%
QfyTPkL 75
0.3%
QtnSjy8 69
0.2%
RcKGizl 49
0.2%
RymtVFQ 77
0.3%
Sdj7m9p 116
0.4%
SeqemRE 24
0.1%
SvLVglg 75
0.3%
T7t9AJW 94
0.3%
TGo1Qj4 80
0.3%
TGr2nig 63
0.2%
TzyOEDW 67
0.2%
UHRpSpr 110
0.4%
UJPZPNq 76
0.3%
ULNvv9f 96
0.3%
UP7CnV3 108
0.4%
UPjrDCO 74
0.3%
UYsIuvi 91
0.3%
VKkEnUY 133
0.5%
VREDhx8 118
0.4%
VaSUMvw 67
0.2%
VrJHVFt 100
0.3%
W0yReHU 94
0.3%
WIUYDhL 178
0.6%
WPo9m5h 114
0.4%
WQUOgbL 67
0.2%
WTINONO 131
0.4%
WUIEc2i 31
0.1%
WprqI0h 146
0.5%
Wpv0JLi 60
0.2%
WwuGTDi 89
0.3%
X9S9vhy 68
0.2%
XH8sf3v 119
0.4%
XcbrshY 60
0.2%
XlJBvZT 162
0.6%
Xs317s2 156
0.5%
YDTcry2 76
0.3%
YJMhKfX 51
0.2%
YaEWjsK 42
0.1%
YbBmi6X 79
0.3%
Z9RC6wT 127
0.4%
ZIEGgkM 56
0.2%
ZLzoooU 69
0.2%
ZPPuYxk 76
0.3%
ZREDQtj 78
0.3%
ZgaBgVD 207
0.7%
ZpRuFHg 97
0.3%
a6t1KBC 101
0.3%
aDp3vhA 37
0.1%
aRuitpn 80
0.3%
amOWxB4 63
0.2%
b9hZecL 76
0.3%
bkahf9H 133
0.5%
c4FXpqS 61
0.2%
c5mGulW 85
0.3%
cC9aDwE 30
0.1%
cLg2cCu 76
0.3%
dE5XIKs 79
0.3%
dhMrke9 61
0.2%
dkTVHtx 124
0.4%
dtXehRL 34
0.1%
dvKSvBU 89
0.3%
e8PbXlS 98
0.3%
eEUaQmn 60
0.2%
eafWg8h 49
0.2%
euRbmwV 78
0.3%
eudxr6m 59
0.2%
f5xbiyV 180
0.6%
f8v7zQb 100
0.3%
fsIvvpV 78
0.3%
gWYqqcG 137
0.5%
gxSKWKQ 122
0.4%
hKL2mNQ 76
0.3%
hPAHWIF 115
0.4%
hhGW9nm 58
0.2%
hp3kaE3 67
0.2%
igdCfJV 131
0.4%
ioRdXka 58
0.2%
iuGTEIH 131
0.4%
ivaWyvQ 80
0.3%
jg4fwWm 28
0.1%
k68YMkA 187
0.6%
kAgodg1 70
0.2%
kDBgO66 89
0.3%
kJVZxlk 77
0.3%
kLZJxyK 127
0.4%
kz2w4Yy 115
0.4%
l6CGheI 71
0.2%
lSKetdu 86
0.3%
lewEm0Y 82
0.3%
lf2W8YW 68
0.2%
lf9ZVap 90
0.3%
mXSDfy7 56
0.2%
mcufcqx 120
0.4%
mjtkcxU 119
0.4%
mwAcW0O 90
0.3%
nAgApdm 55
0.2%
nEnfutS 54
0.2%
nKm4utu 172
0.6%
nPX0qjC 68
0.2%
nWWCvZI 71
0.2%
nfOMi55 81
0.3%
nldih2b 46
0.2%
oUcJbee 88
0.3%
oVjm9ao 119
0.4%
oXia2AX 102
0.3%
obFAcIz 156
0.5%
obcPriZ 95
0.3%
otbUwla 55
0.2%
p6uMhCE 59
0.2%
pDXXn52 91
0.3%
pQkkdua 96
0.3%
paIX81v 74
0.3%
pfsPRUG 35
0.1%
ptTRWZQ 184
0.6%
puFJFSr 112
0.4%
pwLRCLI 68
0.2%
qAN69T0 46
0.2%
qtOK3gZ 88
0.3%
rFGsOJa 50
0.2%
rZPclVB 112
0.4%
rixZsiq 84
0.3%
rmiJkgW 74
0.3%
rsF46zw 58
0.2%
rstdF5m 47
0.2%
rujkWDA 62
0.2%
s01ziF9 37
0.1%
sLpRQgg 128
0.4%
sUQ2USK 104
0.4%
sdlSr3F 83
0.3%
t6mF8zI 52
0.2%
tFEJUNk 84
0.3%
tNqWWqq 75
0.3%
tNxKwn6 66
0.2%
tRFOSq2 79
0.3%
tRUQZwT 68
0.2%
tVBOrEJ 131
0.4%
tbQtTIQ 124
0.4%
u0ROMv3 129
0.4%
u34dNse 91
0.3%
uADujQ6 67
0.2%
uAMpuv6 54
0.2%
uPFrJ6q 123
0.4%
ucrPb44 86
0.3%
upBAUcG 55
0.2%
uu9xCg4 88
0.3%
v71jJnA 61
0.2%
vds7Prd 177
0.6%
vrKPZsk 101
0.3%
wTHJjJO 133
0.5%
wimOcAJ 78
0.3%
wjO75CL 56
0.2%
wkckUbN 113
0.4%
wus1pw0 176
0.6%
x2pqEaz 131
0.4%
xIVcdKZ 28
0.1%
xaCKEN8 80
0.3%
xzuIufh 71
0.2%
y0rw34l 88
0.3%
y9AGDDu 61
0.2%
yDGAcXF 49
0.2%
yFnJTzs 57
0.2%
yVuYIaV 60
0.2%
yaGW5up 98
0.3%
ybZL9WY 37
0.1%
yiI6G5r 73
0.2%
yjJjuHJ 65
0.2%
ynNimEX 58
0.2%
zCgJTFR 27
0.1%
zF7X7sn 142
0.5%
zH2EHtU 113
0.4%
zXMFqDs 19
0.1%
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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