electricsheepasia/asia-census-sri-lanka-census-of-population-and-housi

Sri Lanka - Population and Housing Census of 2012

Publisher: OCHA Regional Office for Asia and the Pacific (ROAP) · Source: HDX · License: hdx-other · Updated: 2025-07-22

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Abstract

This data set include Sri Lanka census of population and housing 2012 with sex age and religion dis-aggregated data up to GND (4th Admin) level . This data set is shared by Disaster Management Centre of Sri Lanka during the 2016 flood response only for humanitarian response/agency purposes and updated with population projection up to 2022 by WFP and UNOCHA.

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the createdate column(s). Geographic scope: LKA.

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

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Dataset Characteristics

Domain	Natural hazards and disaster risk
Unit of observation	Subnational administrative unit observations
Rows (total)	14,022
Columns	61 (50 numeric, 10 categorical, 1 datetime)
Train split	11,217 rows
Test split	2,804 rows
Geographic scope	LKA
Publisher	OCHA Regional Office for Asia and the Pacific (ROAP)
HDX last updated	2025-07-22

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Variables

Geographic — province_n (Western, Central, North Western), district_n (Kurunegala, Kandy, Gampaha), province_c (range 1.0–9.0), district_c (range 1.0–5.0), ratiosex (range 0.0–3398.0) and 1 others.

Temporal — createdate.

Demographic — tot_pop (range 0.0–27776.0), rank_pop (range 1.0–151.0), male (range 0.0–13953.0), female (range 0.0–13823.0).

Identifier / Metadata — objectid (range 1.0–14022.0), gn_uid (range 1103005.0–9233130.0), oid (range 0.0–14021.0), uid_dist_d (range 1103005.0–9233130.0), name_dist (kef.kysr, kskaojQq, ueo.u) and 3 others.

Other — dsd_n (Attanagalla, Mirigama, Dompe), dsd_c (range 1103.0–9233.0), gnd_n (Medagama, Udagama, Ihalagama), gnd_no (range 1.0–1609.0), gnd_c (range 5.0–755.0) and 37 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-census-sri-lanka-census-of-population-and-housi")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
objectid	int64	0.0%	1.0 – 14022.0 (mean 7011.5)
province_n	object	0.0%	Western, Central, North Western
district_n	object	0.0%	Kurunegala, Kandy, Gampaha
dsd_n	object	0.0%	Attanagalla, Mirigama, Dompe
dsd_c	int64	0.0%	1103.0 – 9233.0 (mean 4451.7943)
gnd_n	object	0.0%	Medagama, Udagama, Ihalagama
gnd_no	float64	53.4%	1.0 – 1609.0 (mean 477.8335)
gnd_c	int64	0.0%	5.0 – 755.0 (mean 142.8537)
province_c	int64	0.0%	1.0 – 9.0 (mean 4.256)
district_c	int64	0.0%	1.0 – 5.0 (mean 1.7041)
gn_uid	int64	0.0%	1103005.0 – 9233130.0 (mean 4451937.1769)
oid	int64	0.0%	0.0 – 14021.0 (mean 7010.5)
uid_dist_d	int64	0.0%	1103005.0 – 9233130.0 (mean 4451937.1769)
tot_pop	int64	0.0%	0.0 – 27776.0 (mean 1445.3261)
rank_pop	int64	0.0%	1.0 – 151.0 (mean 28.5886)
male	int64	0.0%	0.0 – 13953.0 (mean 701.1392)
female	int64	0.0%	0.0 – 13823.0 (mean 744.1869)
ratiosex	float64	0.0%	0.0 – 3398.0 (mean 94.5289)
rank_sr	float64	0.0%	0.0 – 151.0 (mean 28.4882)
f0to14	int64	0.0%	0.0 – 7489.0 (mean 373.4983)
f15to59	int64	0.0%	0.0 – 17429.0 (mean 895.9855)
over60	int64	0.0%	0.0 – 2924.0 (mean 175.8423)
ratiodepen	float64	0.0%	0.0 – 510.2 (mean 62.6876)
rank_dr	float64	0.0%	0.0 – 151.0 (mean 28.4973)
buddhist	int64	0.0%
hindu	int64	0.0%
islam	int64	0.0%
romancatho	int64	0.0%
otherchris	int64	0.0%
othereligi	int64	0.0%
sinhalese	int64	0.0%
srilankata	int64	0.0%
indiantami	int64	0.0%
srilankamo	int64	0.0%
otherethgr	int64	0.0%
name_dist	object	0.0%	kef.kysr, kskaojQq, ueo.u
num_gn	float64	53.4%
area	float64	0.0%
dist_c	int64	0.0%
grpc_8101	float64	10.7%
grpc_8112	float64	0.0%
grpc_0112	float64	10.7%
grpc_8113	float64	0.0%
pproj_13	int64	0.0%
pproj_14	int64	0.0%
pproj_15	int64	0.0%
pproj_16	int64	0.0%
pproj_17	int64	0.0%
pproj_18	int64	0.0%
pproj_19	int64	0.0%
pproj_20	int64	0.0%
pproj_21	int64	0.0%
pproj_22	int64	0.0%
notes	object	0.0%	2012 Census data. TOT_POP are the population figures from the 2012 Census. PPROJ_XX are the projections based on the district growth rate provided by the census. Projected by WFP with support from OCHA and MapAction.
source	object	0.0%	DCS LKA
createdate	datetime64[ns]	0.0%
createby	object	0.0%	WFP/OCHA
shape_leng	float64	0.0%
shape_area	float64	0.0%
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-06

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Numeric Summary

Column	Min	Max	Mean	Median
objectid	1.0	14022.0	7011.5	7011.5
dsd_c	1103.0	9233.0	4451.7943	4118.0
gnd_no	1.0	1609.0	477.8335	392.0
gnd_c	5.0	755.0	142.8537	115.0
province_c	1.0	9.0	4.256	4.0
district_c	1.0	5.0	1.7041	2.0
gn_uid	1103005.0	9233130.0	4451937.1769	4118092.5
oid	0.0	14021.0	7010.5	7010.5
uid_dist_d	1103005.0	9233130.0	4451937.1769	4118092.5
tot_pop	0.0	27776.0	1445.3261	1123.5
rank_pop	1.0	151.0	28.5886	23.0
male	0.0	13953.0	701.1392	543.0
female	0.0	13823.0	744.1869	580.0
ratiosex	0.0	3398.0	94.5289	93.58
rank_sr	0.0	151.0	28.4882	23.0

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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. 1 column(s) with >80% missing values were removed: editdate. 4 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.

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Limitations

• Data originates from OCHA Regional Office for Asia and the Pacific (ROAP) 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: gnd_no, num_gn.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_asia_census_sri_lanka_census_of_population_and_housi,
  title     = {Sri Lanka -  Population and Housing Census of  2012},
  author    = {OCHA Regional Office for Asia and the Pacific (ROAP)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/sri-lanka-census-of-population-and-housing-2012},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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