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float64
oblast_province
string
pcode_oblast
string
pcode
string
rayon_district
string
number_of_present_population_thsd_people
float64
unnamed_6
float64
unnamed_7
float64
number_of_resident_population_thsd_people
float64
unnamed_9
float64
unnamed_10
float64
esa_source
string
esa_processed
string
8
Djalal-Abad
41703 000 000 00 0
41703 220 000 00 0
Suzak region
220.7
9.3
211.4
241.2
10.5
230.7
HDX
2026-05-06
48
Bishkek city
41711 000 000 00 0
null
Bishkek city
865.1
861.5
3.6
835.3
831.7
3.6
HDX
2026-05-06
6
Djalal-Abad
41703 000 000 00 0
41703 207 000 00 0
Bazar-Korgon region
132
0
132
142.9
0
142.9
HDX
2026-05-06
46
Talas
41707 000 000 00 0
null
Talas oblast
219.6
33.5
186.1
226.8
33.8
193
HDX
2026-05-06
4
Djalal-Abad
41703 000 000 00 0
41703 211 000 00 0
Aksyi region
106.1
13.2
92.9
113
14.1
98.9
HDX
2026-05-06
36
Chui
41708 000 000 00 0
41708 217 000 00 0
Moscow region
83.6
0
83.6
84.5
0
84.5
HDX
2026-05-06
33
Chui
41708 000 000 00 0
41708 203 000 00 0
Alamudun region
147.2
0
147.2
148
0
148
HDX
2026-05-06
19
Naryn
41704 000 000 00 0
41704 230 000 00 0
Jumgal region
36.8
2.6
34.2
40.8
3.4
37.4
HDX
2026-05-06
47
Chui
41708 000 000 00 0
null
Chui oblast
790.5
143
647.5
803.2
144
659.2
HDX
2026-05-06
15
Issyk-Kul
41702 000 000 00 0
41702 220 000 00 0
Ton region
48.9
4.2
44.7
49.1
4.2
44.9
HDX
2026-05-06
9
Djalal-Abad
41703 000 000 00 0
41703 223 000 00 0
Toguz-Toro region
21.4
0
21.4
22.1
0
22.1
HDX
2026-05-06
16
Issyk-Kul
41702 000 000 00 0
41702 225 000 00 0
Tup region
56.4
1.1
55.3
58.8
1.1
57.7
HDX
2026-05-06
26
Osh
41706 000 000 00 0
41706 242 000 00 0
Nookat region
215
15.2
199.8
236.4
16.1
220.3
HDX
2026-05-06
43
Issyk-Kul
41702 000 000 00 0
null
Issyk-Kul oblast
425.1
119.6
305.5
438.4
126
312.4
HDX
2026-05-06
25
Osh
41706 000 000 00 0
41706 226 000 00 0
Kara-Suu region
321.5
21.9
299.6
348.3
20.9
327.4
HDX
2026-05-06
11
Djalal-Abad
41703 000 000 00 0
41703 230 000 00 0
Chatkal region
21.1
7.4
13.7
22.5
8.4
14.1
HDX
2026-05-06
null
null
null
null
null
null
null
null
null
null
null
HDX
2026-05-06
44
Naryn
41704 000 000 00 0
null
Naryn oblast
245.3
37.5
207.8
257.8
39
218.8
HDX
2026-05-06
27
Osh
41706 000 000 00 0
41706 255 000 00 0
Uzgen region
202.3
44.3
158
228.6
49.4
179.2
HDX
2026-05-06
34
Chui
41708 000 000 00 0
41708 209 000 00 0
Jaiyl region
90.4
37.7
52.7
92.6
37.8
54.8
HDX
2026-05-06
5
Djalal-Abad
41703 000 000 00 0
41703 204 000 00 0
Ala-Bukinskii region
81.5
0
81.5
87.5
0
87.5
HDX
2026-05-06
29
Talas
41707 000 000 00 0
41707 220 000 00 0
Bakai-Ata region
43.4
0
43.4
44
0
44
HDX
2026-05-06
37
Chui
41708 000 000 00 0
41708 219 000 00 0
Panfilov region
39.9
7.3
32.6
41.7
7.5
34.2
HDX
2026-05-06
1
Batken
41705 000 000 00 0
41705 214 000 00 0
Batken region
62.3
0
62.3
69.6
0
69.6
HDX
2026-05-06
21
Naryn
41704 000 000 00 0
41704 245 000 00 0
Naryn region
41.7
0.7
41
44.1
0.8
43.3
HDX
2026-05-06
2
Batken
41705 000 000 00 0
41705 258 000 00 0
Kadamjai region
143.9
17.2
126.7
157.6
20.4
137.2
HDX
2026-05-06
39
Chui
41708 000 000 00 0
41708 223 000 00 0
Chui region
44.8
0
44.8
47
0
47
HDX
2026-05-06
35
Chui
41708 000 000 00 0
41708 213 000 00 0
Kemin region
41.9
14.4
27.5
44.2
15.2
29
HDX
2026-05-06
23
Osh
41706 000 000 00 0
41706 211 000 00 0
Aravan region
98.3
0
98.3
106.1
0
106.1
HDX
2026-05-06
null
null
null
null
null
null
null
null
null
null
null
HDX
2026-05-06
10
Djalal-Abad
41703 000 000 00 0
41703 225 000 00 0
Toktogul region
83.4
16
67.4
86.3
16.4
69.9
HDX
2026-05-06
22
Osh
41706 000 000 00 0
41706 207 000 00 0
Alai region
65.2
1.4
63.8
72.6
1.4
71.2
HDX
2026-05-06
18
Naryn
41704 000 000 00 0
41704 220 000 00 0
At-Bashy region
47.2
0
47.2
49.2
0
49.2
HDX
2026-05-06
49
Osh city
41721 000 000 00 0
null
Osh city
243.2
220.5
22.7
258.1
233.8
24.3
HDX
2026-05-06
20
Naryn
41704 000 000 00 0
41704 235 000 00 0
Kochkor region
57.9
0
57.9
58.3
0
58.3
HDX
2026-05-06
7
Djalal-Abad
41703 000 000 00 0
41703 215 000 00 0
Nooken region
109.7
14.8
94.9
117
14.8
102.2
HDX
2026-05-06
41
Batken
41705 000 000 00 0
null
Batken oblast
380.3
92.8
287.5
428.6
103.8
324.8
HDX
2026-05-06
14
Issyk-Kul
41702 000 000 00 0
41702 215 000 00 0
Issyk-Kul region
75
10.3
64.7
75.5
10.5
65
HDX
2026-05-06
28
Osh
41706 000 000 00 0
41706 259 000 00 0
Chon-Alai region
23.6
0
23.6
25
0
25
HDX
2026-05-06
38
Chui
41708 000 000 00 0
41708 222 000 00 0
Sokuluk region
158.1
8.7
149.4
159.2
8.7
150.5
HDX
2026-05-06

Kyrgyzstan - Population Census 2009

Publisher: OCHA ROCCA (inactive) · Source: HDX · License: hdx-other · Updated: 2025-11-13


Abstract

This dataset contains population census data from 2009 for Kyrgyzstan. It has total population dissagregated by gender and urban/rural area at country level and first and second administrative levels. It includes the number of households for these administrative areas and the average household sizes.

The data was received through UNFPA from the National Statistical Committee of the Kyrgyz Republic.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2025-11-13. Geographic scope: KGZ.

Curated into ML-ready Parquet format by Electric Sheep Africa.


Dataset Characteristics

Domain Demographics and population
Unit of observation Subnational administrative unit observations
Rows (total) 51
Columns 13 (7 numeric, 6 categorical, 0 datetime)
Train split 40 rows
Test split 10 rows
Geographic scope KGZ
Publisher OCHA ROCCA (inactive)
HDX last updated 2025-11-13

Variables

Geographicoblast_province (Djalal-Abad, Chui, Osh), rayon_district (Batken region, Kadamjai region, Leilek region), number_of_present_population_thsd_people (range 21.1–1000.0), number_of_resident_population_thsd_people (range 22.1–1104.7).

Identifier / Metadatapcode_oblast (41703 000 000 00 0, 41708 000 000 00 0, 41706 000 000 00 0), pcode (41705 214 000 00 0, 41705 258 000 00 0, 41705 236 000 00 0), unnamed_6 (range 0.0–861.5), unnamed_7 (range 3.6–917.2), unnamed_9 (range 0.0–831.7) and 3 others.

Other — `` (range 1.0–49.0).


Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-census-kyrgyzstan-population-census-2009")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column Type Null % Range / Sample Values
`` float64 3.9% 1.0 – 49.0 (mean 25.0)
oblast_province object 3.9% Djalal-Abad, Chui, Osh
pcode_oblast object 3.9% 41703 000 000 00 0, 41708 000 000 00 0, 41706 000 000 00 0
pcode object 21.6% 41705 214 000 00 0, 41705 258 000 00 0, 41705 236 000 00 0
rayon_district object 3.9% Batken region, Kadamjai region, Leilek region
number_of_present_population_thsd_people float64 3.9% 21.1 – 1000.0 (mean 176.4224)
unnamed_6 float64 5.9% 0.0 – 861.5 (mean 43.55)
unnamed_7 float64 3.9% 3.6 – 917.2 (mean 133.7612)
number_of_resident_population_thsd_people float64 3.9% 22.1 – 1104.7 (mean 186.5327)
unnamed_9 float64 5.9% 0.0 – 831.7 (mean 44.4062)
unnamed_10 float64 3.9% 3.6 – 1016.9 (mean 143.0327)
esa_source object 0.0% HDX
esa_processed object 0.0% 2026-05-06

Numeric Summary

Column Min Max Mean Median
`` 1.0 49.0 25.0 25.0
number_of_present_population_thsd_people 21.1 1000.0 176.4224 83.4
unnamed_6 0.0 861.5 43.55 7.35
unnamed_7 3.6 917.2 133.7612 67.4
number_of_resident_population_thsd_people 22.1 1104.7 186.5327 87.5
unnamed_9 0.0 831.7 44.4062 7.95
unnamed_10 3.6 1016.9 143.0327 71.2

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 6 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.


Limitations

  • Data originates from OCHA ROCCA (inactive) and has not been independently validated by ESA.
  • Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
  • The following columns have >20% missing values and should be treated with caution in modelling: pcode.
  • Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_census_kyrgyzstan_population_census_2009,
  title     = {Kyrgyzstan - Population Census 2009},
  author    = {OCHA ROCCA (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/kyrgyzstan-population-census-2009},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.

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