Home / Food and Agriculture Microdata Catalogue / 50X2030 / GNB_2025_LAH_V01_M_V01_A_ESS / variable [F3]
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
195
Downloads
23

Census district (DR) (a03)

Data file: agregados

Overview

Valid: 32264
Invalid: 0
Type: Discrete
Width: 7
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
02NzJH0 108
0.3%
0FXdM8o 123
0.4%
0ixFZSn 122
0.4%
0rqIeSh 98
0.3%
0vkvdUW 149
0.5%
10RfKFG 62
0.2%
16yuS3K 290
0.9%
17efQa0 44
0.1%
1MxDBx7 90
0.3%
1Nai2vg 100
0.3%
1b2e8cD 66
0.2%
1slfKtM 318
1%
20qROyQ 178
0.6%
2AyEEKF 81
0.3%
2QlcGaf 96
0.3%
2YDu6GO 76
0.2%
2bPrcJR 54
0.2%
2faQpok 62
0.2%
2oHvlU5 116
0.4%
2oKEYk1 56
0.2%
2sLkbgb 64
0.2%
2v9ImK5 90
0.3%
31uvJSU 164
0.5%
3HRKtSV 106
0.3%
3Mj8wvM 128
0.4%
3SzzTZq 76
0.2%
3bHSSa9 80
0.2%
3exUD6r 133
0.4%
3zp1P43 147
0.5%
4Fqz2Io 32
0.1%
4Zepgym 126
0.4%
4v2CRAA 46
0.1%
5RDBILu 108
0.3%
5T1rTNw 130
0.4%
5cBtxPa 188
0.6%
5cq8XwN 82
0.3%
5hjdNaj 244
0.8%
6M18VwR 79
0.2%
6W9N1br 69
0.2%
6b97C84 59
0.2%
6gSfTuk 88
0.3%
7gssk51 196
0.6%
7yi4zp1 62
0.2%
806u324 176
0.5%
8eNHsO2 78
0.2%
8s0a9ao 102
0.3%
8wVmYcI 121
0.4%
9MUnojt 93
0.3%
9NNNf5J 99
0.3%
9fyFN4z 120
0.4%
9zi0cqk 202
0.6%
AQU0rUE 106
0.3%
AXkeb5q 88
0.3%
Aj3ZBjN 91
0.3%
AxOo7hG 61
0.2%
B54AabI 52
0.2%
BAQtXD2 174
0.5%
BLl4Gun 155
0.5%
BXgV3ZU 107
0.3%
Bg97X8w 146
0.5%
ByLWvib 110
0.3%
C9QUF0B 82
0.3%
CE8zL3N 94
0.3%
CNdMHt1 68
0.2%
CTqO5Te 76
0.2%
CY4nsoI 175
0.5%
CbNeaH1 86
0.3%
CkXeQ3v 63
0.2%
D3kU62X 161
0.5%
D5Ry4zR 115
0.4%
D6qsN6X 19
0.1%
DCOhze3 152
0.5%
DINwcMF 150
0.5%
DeC3eeU 84
0.3%
DkTP6oT 79
0.2%
DmKZizU 87
0.3%
E2bBKh6 118
0.4%
E5OIUsp 38
0.1%
EJ5cBL4 73
0.2%
ESXFwy7 122
0.4%
EctIJFf 158
0.5%
FDtXxOY 50
0.2%
FV2nl7a 165
0.5%
FflhD0x 34
0.1%
G0h3b2n 101
0.3%
G8qGrwC 110
0.3%
GFJCdmx 125
0.4%
GSpyBpc 84
0.3%
GZ8s5zD 94
0.3%
HIb7Vx0 66
0.2%
HO2uBGm 86
0.3%
HSdTKA4 98
0.3%
HVTNTeA 79
0.2%
HyAK22G 87
0.3%
I52CK9C 101
0.3%
IJGp1Z0 115
0.4%
IWCBQ0d 128
0.4%
IgLn0aC 98
0.3%
Ijmv9iA 111
0.3%
ImjjGUc 193
0.6%
IoI1b78 93
0.3%
Jr9w3A1 215
0.7%
KF3lCbV 110
0.3%
KNFCqft 53
0.2%
KNrNVtc 49
0.2%
KmJgr9m 109
0.3%
L5kROii 103
0.3%
LL4jCuq 21
0.1%
LXHYJcz 91
0.3%
Lf7oEx6 143
0.4%
Lgsfute 116
0.4%
MC01snU 79
0.2%
MCr5DKi 137
0.4%
MGw6w7Y 113
0.4%
MVyihWY 96
0.3%
MYMAIVf 133
0.4%
MhnSqgp 78
0.2%
Mm8jKar 134
0.4%
MmixzIS 89
0.3%
Mo10T31 187
0.6%
N6GsJ68 80
0.2%
N9B8lpj 229
0.7%
NAoboVR 89
0.3%
NYFe6yM 190
0.6%
NoctsJz 75
0.2%
NprmuEX 117
0.4%
Nw1mZgr 166
0.5%
O0PxMBv 48
0.1%
OZjHpgQ 60
0.2%
Ob5zOmn 73
0.2%
Oh2oaFo 67
0.2%
OidGomK 73
0.2%
OxoHL5B 53
0.2%
P4IzbqP 132
0.4%
P6mLzCv 109
0.3%
P9ZTpzI 326
1%
PQCgnhh 112
0.3%
PT58T20 32
0.1%
PUCXSZQ 73
0.2%
PUlyXBL 62
0.2%
PWYYHbw 136
0.4%
PjtBvya 79
0.2%
PnQtqcP 102
0.3%
Q2klMLk 91
0.3%
QBUn0nL 76
0.2%
QVQMAB6 45
0.1%
QWGhCy1 41
0.1%
QeJ3TjQ 123
0.4%
QfyTPkL 105
0.3%
QtnSjy8 83
0.3%
RcKGizl 50
0.2%
RymtVFQ 79
0.2%
Sdj7m9p 124
0.4%
SeqemRE 48
0.1%
SvLVglg 73
0.2%
T7t9AJW 94
0.3%
TGo1Qj4 100
0.3%
TGr2nig 59
0.2%
TzyOEDW 75
0.2%
UHRpSpr 107
0.3%
UJPZPNq 85
0.3%
ULNvv9f 98
0.3%
UP7CnV3 116
0.4%
UPjrDCO 94
0.3%
UYsIuvi 98
0.3%
VKkEnUY 146
0.5%
VREDhx8 117
0.4%
VaSUMvw 91
0.3%
VrJHVFt 123
0.4%
W0yReHU 95
0.3%
WIUYDhL 194
0.6%
WPo9m5h 125
0.4%
WQUOgbL 70
0.2%
WTINONO 124
0.4%
WUIEc2i 32
0.1%
WprqI0h 215
0.7%
Wpv0JLi 60
0.2%
WwuGTDi 125
0.4%
X9S9vhy 78
0.2%
XH8sf3v 111
0.3%
XcbrshY 35
0.1%
XlJBvZT 166
0.5%
Xs317s2 164
0.5%
YDTcry2 78
0.2%
YJMhKfX 76
0.2%
YaEWjsK 51
0.2%
YbBmi6X 110
0.3%
Z9RC6wT 134
0.4%
ZIEGgkM 59
0.2%
ZLzoooU 76
0.2%
ZPPuYxk 90
0.3%
ZREDQtj 102
0.3%
ZgaBgVD 213
0.7%
ZpRuFHg 102
0.3%
a6t1KBC 103
0.3%
aDp3vhA 37
0.1%
aRuitpn 118
0.4%
amOWxB4 63
0.2%
b9hZecL 74
0.2%
bkahf9H 137
0.4%
c4FXpqS 61
0.2%
c5mGulW 86
0.3%
cC9aDwE 31
0.1%
cLg2cCu 75
0.2%
dE5XIKs 81
0.3%
dhMrke9 66
0.2%
dkTVHtx 126
0.4%
dtXehRL 37
0.1%
dvKSvBU 101
0.3%
e8PbXlS 103
0.3%
eEUaQmn 67
0.2%
eafWg8h 49
0.2%
euRbmwV 91
0.3%
eudxr6m 65
0.2%
f5xbiyV 177
0.5%
f8v7zQb 104
0.3%
fsIvvpV 66
0.2%
gWYqqcG 172
0.5%
gxSKWKQ 127
0.4%
hKL2mNQ 101
0.3%
hPAHWIF 153
0.5%
hhGW9nm 61
0.2%
hp3kaE3 70
0.2%
igdCfJV 134
0.4%
ioRdXka 61
0.2%
iuGTEIH 103
0.3%
ivaWyvQ 131
0.4%
jg4fwWm 35
0.1%
k68YMkA 185
0.6%
kAgodg1 95
0.3%
kDBgO66 97
0.3%
kJVZxlk 81
0.3%
kLZJxyK 198
0.6%
kz2w4Yy 131
0.4%
l6CGheI 91
0.3%
lSKetdu 89
0.3%
lewEm0Y 91
0.3%
lf2W8YW 70
0.2%
lf9ZVap 116
0.4%
mXSDfy7 71
0.2%
mcufcqx 120
0.4%
mjtkcxU 132
0.4%
mwAcW0O 93
0.3%
nAgApdm 55
0.2%
nEnfutS 55
0.2%
nKm4utu 185
0.6%
nPX0qjC 115
0.4%
nWWCvZI 78
0.2%
nfOMi55 62
0.2%
nldih2b 46
0.1%
oUcJbee 90
0.3%
oVjm9ao 124
0.4%
oXia2AX 113
0.4%
obFAcIz 181
0.6%
obcPriZ 99
0.3%
otbUwla 54
0.2%
p6uMhCE 78
0.2%
pDXXn52 114
0.4%
pQkkdua 128
0.4%
paIX81v 82
0.3%
pfsPRUG 34
0.1%
ptTRWZQ 189
0.6%
puFJFSr 116
0.4%
pwLRCLI 69
0.2%
qAN69T0 49
0.2%
qtOK3gZ 92
0.3%
rFGsOJa 105
0.3%
rZPclVB 80
0.2%
rixZsiq 86
0.3%
rmiJkgW 75
0.2%
rsF46zw 57
0.2%
rstdF5m 48
0.1%
rujkWDA 63
0.2%
s01ziF9 39
0.1%
sLpRQgg 145
0.4%
sUQ2USK 103
0.3%
sdlSr3F 86
0.3%
t6mF8zI 52
0.2%
tFEJUNk 84
0.3%
tNqWWqq 77
0.2%
tNxKwn6 100
0.3%
tRFOSq2 79
0.2%
tRUQZwT 109
0.3%
tVBOrEJ 137
0.4%
tbQtTIQ 167
0.5%
u0ROMv3 128
0.4%
u34dNse 103
0.3%
uADujQ6 68
0.2%
uAMpuv6 56
0.2%
uPFrJ6q 130
0.4%
ucrPb44 87
0.3%
upBAUcG 55
0.2%
uu9xCg4 82
0.3%
v71jJnA 70
0.2%
vds7Prd 174
0.5%
vrKPZsk 143
0.4%
wTHJjJO 143
0.4%
wimOcAJ 100
0.3%
wjO75CL 55
0.2%
wkckUbN 242
0.8%
wus1pw0 186
0.6%
x2pqEaz 116
0.4%
xIVcdKZ 46
0.1%
xaCKEN8 96
0.3%
xzuIufh 74
0.2%
y0rw34l 114
0.4%
y9AGDDu 82
0.3%
yDGAcXF 54
0.2%
yFnJTzs 58
0.2%
yVuYIaV 66
0.2%
yaGW5up 95
0.3%
ybZL9WY 52
0.2%
yiI6G5r 76
0.2%
yjJjuHJ 65
0.2%
ynNimEX 58
0.2%
zCgJTFR 28
0.1%
zF7X7sn 150
0.5%
zH2EHtU 117
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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