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source_record_id
string
country_iso3
string
country_name
string
adm2_pcode
string
adm_pcode
string
rp10_female_pop_30cm
int64
rp10_children_u5_30cm
int64
rp10_female_u5_30cm
int64
rp10_elderly_30cm
int64
rp10_pop_u15_30cm
int64
rp10_female_u15_30cm
int64
rp10_education_30cm_pct
int64
rp10_education_30cm_count
int64
rp10_hospitals_30cm_pct
int64
rp10_hospitals_30cm_count
int64
rp10_primary_healthcare_30cm_pct
int64
rp10_primary_healthcare_30cm_count
int64
rp50_female_pop_30cm
int64
rp50_children_u5_30cm
int64
rp50_female_u5_30cm
int64
rp50_elderly_30cm
int64
rp50_pop_u15_30cm
int64
rp50_female_u15_30cm
int64
rp50_education_30cm_pct
int64
rp50_education_30cm_count
int64
rp50_hospitals_30cm_pct
int64
rp50_hospitals_30cm_count
int64
rp50_primary_healthcare_30cm_pct
int64
rp50_primary_healthcare_30cm_count
int64
rp100_female_pop_30cm
int64
rp100_children_u5_30cm
int64
rp100_female_u5_30cm
int64
rp100_elderly_30cm
int64
rp100_pop_u15_30cm
int64
rp100_female_u15_30cm
int64
rp100_education_30cm_pct
int64
rp100_education_30cm_count
int64
rp100_hospitals_30cm_pct
int64
rp100_hospitals_30cm_count
int64
rp100_primary_healthcare_30cm_pct
int64
rp100_primary_healthcare_30cm_count
int64
rp500_female_pop_30cm
int64
rp500_children_u5_30cm
int64
rp500_female_u5_30cm
int64
rp500_elderly_30cm
int64
rp500_pop_u15_30cm
int64
rp500_female_u15_30cm
int64
rp500_education_30cm_pct
int64
rp500_education_30cm_count
int64
rp500_hospitals_30cm_pct
int64
rp500_hospitals_30cm_count
int64
rp500_primary_healthcare_30cm_pct
int64
rp500_primary_healthcare_30cm_count
int64
source_period_start_year
int64
source_period_end_year
int64
source_period_label
string
source_provider
string
source_dataset
string
source_resource
string
source_package_id
string
source_resource_id
string
source_url
string
license_id
string
retrieved_at
string
df079a63-b45a-4398-9c09-4367b93e7524:0
LBY
Libya
LY0101
LY0101
705
126
61
66
387
188
0
0
0
0
0
0
993
177
86
93
545
266
0
0
0
0
0
0
1,076
192
94
101
590
288
0
0
0
0
0
0
1,184
212
103
111
649
317
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:1
LBY
Libya
LY0102
LY0102
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:2
LBY
Libya
LY0103
LY0103
5,225
934
455
489
2,866
1,397
0
1
0
0
0
0
6,840
1,223
596
640
3,752
1,829
0
1
0
0
0
0
7,440
1,330
648
696
4,081
1,990
0
1
0
0
0
0
8,762
1,566
763
820
4,806
2,343
0
1
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:3
LBY
Libya
LY0104
LY0104
9
2
1
1
5
2
0
0
0
0
0
0
9
2
1
1
5
2
0
0
0
0
0
0
9
2
1
1
5
2
0
0
0
0
0
0
9
2
1
1
5
2
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:4
LBY
Libya
LY0105
LY0105
191
34
17
18
105
51
0
0
0
0
0
0
206
37
18
19
113
55
0
0
0
0
0
0
206
37
18
19
113
55
1
1
0
0
0
0
265
47
23
25
145
71
2
2
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:5
LBY
Libya
LY0106
LY0106
10
2
1
1
5
3
0
0
0
0
0
0
62
11
5
6
34
17
0
0
0
0
0
0
140
25
12
13
77
37
0
0
0
0
0
0
215
38
19
20
118
57
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:6
LBY
Libya
LY0107
LY0107
320
57
28
30
175
85
0
0
0
0
0
0
320
57
28
30
175
85
0
0
0
0
0
0
320
57
28
30
175
85
0
0
0
0
0
0
320
57
28
30
175
85
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:7
LBY
Libya
LY0208
LY0208
2,411
431
210
226
1,322
645
0
0
6
2
0
0
3,789
677
330
354
2,079
1,013
7
5
14
5
33
6
4,221
754
368
395
2,315
1,129
7
5
14
5
33
6
4,977
890
433
466
2,730
1,331
8
6
14
5
33
6
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:8
LBY
Libya
LY0209
LY0209
76
14
7
7
42
20
0
0
0
0
0
0
87
16
8
8
48
23
0
0
0
0
0
0
87
16
8
8
48
23
0
0
0
0
0
0
98
17
9
9
54
26
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:9
LBY
Libya
LY0210
LY0210
1,044
187
91
98
573
279
0
0
0
0
0
0
1,199
214
104
112
658
321
0
0
0
0
0
0
1,240
222
108
116
680
332
0
0
0
0
0
0
1,347
241
117
126
739
360
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:10
LBY
Libya
LY0211
LY0211
35,624
6,368
3,103
3,333
19,542
9,528
13
54
13
18
12
26
40,933
7,317
3,565
3,829
22,454
10,948
14
60
14
20
15
33
42,604
7,616
3,711
3,986
23,371
11,395
14
60
14
20
17
37
46,936
8,390
4,088
4,391
25,747
12,553
16
67
15
21
17
38
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:11
LBY
Libya
LY0212
LY0212
9,678
1,730
843
905
5,309
2,588
0
1
3
2
1
1
11,909
2,129
1,037
1,114
6,533
3,185
2
4
3
2
1
1
12,748
2,279
1,110
1,193
6,993
3,409
2
4
3
2
1
1
14,529
2,597
1,265
1,359
7,970
3,886
2
5
3
2
3
2
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:12
LBY
Libya
LY0213
LY0213
1,833
328
160
171
1,005
490
1
2
0
0
0
0
2,238
400
195
209
1,228
599
1
2
0
0
0
0
2,377
425
207
222
1,304
636
1
2
0
0
0
0
2,576
461
224
241
1,413
689
1
2
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:13
LBY
Libya
LY0214
LY0214
7,932
1,418
691
742
4,351
2,121
1
3
0
0
1
1
10,328
1,846
900
966
5,665
2,762
1
3
0
0
1
1
11,202
2,003
976
1,048
6,145
2,996
1
3
0
0
2
2
13,503
2,414
1,176
1,263
7,407
3,611
1
4
0
0
2
2
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:14
LBY
Libya
LY0215
LY0215
12,518
2,238
1,090
1,171
6,867
3,348
6
10
3
1
4
1
17,658
3,157
1,538
1,652
9,686
4,723
8
13
6
2
4
1
19,964
3,569
1,739
1,868
10,952
5,339
9
15
6
2
7
2
25,649
4,585
2,234
2,400
14,070
6,860
12
20
6
2
7
2
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:15
LBY
Libya
LY0216
LY0216
526
94
46
49
289
141
0
0
2
1
0
0
595
106
52
56
326
159
0
0
2
1
3
1
617
110
54
58
338
165
0
0
2
1
3
1
646
115
56
60
354
173
0
0
2
1
3
1
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:16
LBY
Libya
LY0317
LY0317
246
44
21
23
135
66
0
0
0
0
0
0
324
58
28
30
178
87
0
0
0
0
0
0
336
60
29
31
185
90
0
0
0
0
0
0
410
73
36
38
225
110
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:17
LBY
Libya
LY0318
LY0318
49
9
4
5
27
13
0
0
0
0
0
0
49
9
4
5
27
13
0
0
0
0
0
0
49
9
4
5
27
13
0
0
0
0
0
0
49
9
4
5
27
13
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:18
LBY
Libya
LY0319
LY0319
15
3
1
1
8
4
0
0
0
0
0
0
15
3
1
1
8
4
0
0
0
0
0
0
15
3
1
1
8
4
0
0
0
0
0
0
15
3
1
1
8
4
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:19
LBY
Libya
LY0320
LY0320
30
5
3
3
16
8
0
0
0
0
0
0
30
5
3
3
16
8
0
0
0
0
0
0
30
5
3
3
16
8
0
0
0
0
0
0
30
5
3
3
16
8
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:20
LBY
Libya
LY0322
LY0322
166
30
14
16
91
44
0
0
0
0
0
0
166
30
14
16
91
44
0
0
0
0
0
0
166
30
14
16
91
44
0
0
0
0
0
0
166
30
14
16
91
44
0
0
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z
df079a63-b45a-4398-9c09-4367b93e7524:21
LBY
Libya
LY0321
LY0321
71
13
6
7
39
19
9
1
0
0
0
0
71
13
6
7
39
19
9
1
0
0
0
0
71
13
6
7
39
19
9
1
0
0
0
0
71
13
6
7
39
19
9
1
0
0
0
0
null
null
null
HeiGIT (Heidelberg Institute for Geoinformation Technology)
Libya - Risk Assessment Indicators
LBY_ADM2_flood_exposure.csv
8fdd3f4b-ce12-465e-9c73-8724223636b3
df079a63-b45a-4398-9c09-4367b93e7524
https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv
cc-by-sa
2026-08-17T13:13:43Z

Libya - Risk Assessment Indicators | Africa (Libya official open data)

22 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official CSV resource from Libya as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
LBY 22 n/a n/a Libya

Indicators or Resource Contents

  • This source file is packaged as a normalized tabular resource.

Schema

Column Type Description Example
source_record_id string Stable row identifier for tabular resources. df079a63-b45a-4398-9c09-4367b93e7524:0
country_iso3 category ISO3 country code. LBY
country_name category Country name. Libya
adm2_pcode string Source column. LY0101
adm_pcode string Source column. LY0101
rp10_female_pop_30cm int64 Source column. 705
rp10_children_u5_30cm int64 Source column. 126
rp10_female_u5_30cm int64 Source column. 61
rp10_elderly_30cm int64 Source column. 66
rp10_pop_u15_30cm int64 Source column. 387
rp10_female_u15_30cm int64 Source column. 188
rp10_education_30cm_pct int64 Source column. 0
rp10_education_30cm_count int64 Source column. 0
rp10_hospitals_30cm_pct int64 Source column. 0
rp10_hospitals_30cm_count int64 Source column. 0
rp10_primary_healthcare_30cm_pct int64 Source column. 0
rp10_primary_healthcare_30cm_count int64 Source column. 0
rp50_female_pop_30cm int64 Source column. 993
rp50_children_u5_30cm int64 Source column. 177
rp50_female_u5_30cm int64 Source column. 86
rp50_elderly_30cm int64 Source column. 93
rp50_pop_u15_30cm int64 Source column. 545
rp50_female_u15_30cm int64 Source column. 266
rp50_education_30cm_pct int64 Source column. 0
rp50_education_30cm_count int64 Source column. 0
rp50_hospitals_30cm_pct int64 Source column. 0
rp50_hospitals_30cm_count int64 Source column. 0
rp50_primary_healthcare_30cm_pct int64 Source column. 0
rp50_primary_healthcare_30cm_count int64 Source column. 0
rp100_female_pop_30cm int64 Source column. 1076
rp100_children_u5_30cm int64 Source column. 192
rp100_female_u5_30cm int64 Source column. 94
rp100_elderly_30cm int64 Source column. 101
rp100_pop_u15_30cm int64 Source column. 590
rp100_female_u15_30cm int64 Source column. 288
rp100_education_30cm_pct int64 Source column. 0
rp100_education_30cm_count int64 Source column. 0
rp100_hospitals_30cm_pct int64 Source column. 0
rp100_hospitals_30cm_count int64 Source column. 0
rp100_primary_healthcare_30cm_pct int64 Source column. 0
rp100_primary_healthcare_30cm_count int64 Source column. 0
rp500_female_pop_30cm int64 Source column. 1184
rp500_children_u5_30cm int64 Source column. 212
rp500_female_u5_30cm int64 Source column. 103
rp500_elderly_30cm int64 Source column. 111
rp500_pop_u15_30cm int64 Source column. 649
rp500_female_u15_30cm int64 Source column. 317
rp500_education_30cm_pct int64 Source column. 0
rp500_education_30cm_count int64 Source column. 0
rp500_hospitals_30cm_pct int64 Source column. 0
rp500_hospitals_30cm_count int64 Source column. 0
rp500_primary_healthcare_30cm_pct int64 Source column. 0
rp500_primary_healthcare_30cm_count int64 Source column. 0
source_period_start_year Int64 First year inferred from source resource metadata. ``
source_period_end_year Int64 Last year inferred from source resource metadata. ``
source_period_label string Human-readable period inferred from source resource metadata. ``
source_provider category Publishing organization. HeiGIT (Heidelberg Institute for Geoinformation Technology)
source_dataset category Source package title. Libya - Risk Assessment Indicators
source_resource category Source resource title. LBY_ADM2_flood_exposure.csv
source_package_id category CKAN package UUID. 8fdd3f4b-ce12-465e-9c73-8724223636b3
source_resource_id category CKAN resource UUID. df079a63-b45a-4398-9c09-4367b93e7524
source_url category Original source resource URL. https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/
license_id category Source license identifier. cc-by-sa
retrieved_at category UTC retrieval timestamp. 2026-08-17T13:13:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-risk-assessment-indicators-9d581b54")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "LBY"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_libya_libya_risk_assessment_indicators_9d581b54_2026,
  title        = {Libya - Risk Assessment Indicators | Africa (Libya official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/libya---risk-assessment-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-risk-assessment-indicators-9d581b54}}
}

License

Released under CC BY-SA.

Original data (c) HeiGIT (Heidelberg Institute for Geoinformation Technology). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica


Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/risk_assessment_inputs/lby/LBY_ADM2_flood_exposure.csv

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