Healthcare Facility and Workforce (SEA)

HLTHFC921· 6.0M records · 27 tables · v1.0.0 · Updated 2026-08-10

Healthcare Hospitals & Care Providers Dataset API

CSV JSON SQLfacility-registryworkforcestaffinghospital-tierssoutheast-asiaseacovid-19time-serieshealthcare

Overview

A registry-grade model of six national health systems. The national classification schemes (Indonesia's Kelas A to D, the Philippine DOH hospital levels, Thailand's regional, general and community tiers, and their Malaysian, Singaporean and Vietnamese counterparts) are modelled faithfully and normalised onto five cross-country tiers, populated with regions, districts and facilities down to village clinic level. 9,000 facilities carry ten years of annual capacity, department, accreditation, staffing and utilisation history, a specialist staffing matrix that covers every hospital-tier facility against all 42 specialties so that a zero is a finding rather than a missing row, and district-level disease burden joined to the same geography as the facilities. The 2019 to 2022 period is monthly: COVID bed conversions, admissions, ventilator use, oxygen status, service disruption and vaccination coverage for every facility for every month, with wave timing that differs by country and a 2022 that does not return cleanly to the 2019 baseline. The tables reconcile by construction: workforce density is exactly reproducible from facility staffing, specialist counts never exceed physician headcounts, catchment populations sum to district populations, and every declared relationship is a real foreign key. It is operational and workforce data about facilities, built for health-system analytics, capacity planning models, ETL pipelines and reporting logic. The licence and disclosure sections state the provenance of the data.

Analytics

Select a country on the map to see the figures the dataset records for it.

Row Counts by Table

Counted from the files that ship, not estimated.

Table	Rows
facilities	9,000
facility_capacity	90,000
facility_departments	25,894
facility_accreditations	6,579
facility_staffing	911,860
specialist_staffing	1,146,180
workforce_density	2,760
catchments	11,671
facility_utilisation	90,000
referral_flows	102,010
facility_covid_capacity	432,000
covid_admissions	432,000
service_disruption	432,000
vaccination_coverage	6,622
covid_waves	24
disease_burden	2,280,000
population_health_indicators	2,760
condition_codes	95
hf_countries	6
hf_admin_regions	276
hf_districts	2,400
facility_tiers	5
facility_classes	33
ownership_types	12
accreditation_bodies	8
hf_specialties	42
staff_categories	18

Table Relationships

One parent record and seven child tables, each joined back on the same key.

70%

Loading diagram

Schema

Every table ships with typed columns, referential integrity, and documentation.

facilities· Rows: 9,000

Column	Type	Description
facility_id	`varchar(16)`	Facility number. Primary key; foreign key on every facility-grain table.
facility_code	`varchar(24)`	Registry-style code, <country>-<region>-<sequence><check letter>. Follows no real national coding scheme.
facility_name	`varchar(48)`	Generated facility name: a facility-type frame in the country's own idiom around an invented place name. One name is deliberately shared by two unrelated facilities.
district_id	`varchar(16)`	District the facility sits in.
class_id	`varchar(32)`	National classification of the facility. Consistent with its capacity and department mix per the class minimums; the build re-verifies it.
tier_id	`varchar(8)`	Cross-country tier, derived from the class.
ownership_id	`varchar(16)`	Who owns and operates the facility.

+8 more columns in facilities. The full schema ships with the download.

facility_capacity· Rows: 90,000

Column	Type	Description
capacity_id	`varchar(16)`	Capacity row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
year	`integer`	Calendar year of this capacity snapshot, 2015 to 2024.
total_beds	`integer`	Total inpatient beds. Never below the facility class minimum.
icu_beds	`integer`	Intensive care beds. Zero at primary-care tiers and at many district hospitals.
isolation_beds	`integer`	Isolation beds. Jump in 2020 and 2021 through conversion and only partly revert afterwards.
maternity_beds	`integer`	Maternity beds, including the small maternity units at health centres.

+8 more columns in facility_capacity. The full schema ships with the download.

facility_departments· Rows: 25,894

Column	Type	Description
dept_id	`varchar(16)`	Department row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
specialty_id	`varchar(8)`	The specialty this department provides.
opened_year	`integer`	Year the department opened. Never before the facility was established.
inpatient_capable	`boolean`	True when the department admits inpatients; false for diagnostic and support departments and at outpatient tiers.
twenty_four_hour_flag	`boolean`	True for round-the-clock departments: emergency, obstetrics and anesthesiology at the referral tiers.

facility_accreditations· Rows: 6,579

Column	Type	Description
accreditation_id	`varchar(16)`	Accreditation cycle key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
body_id	`varchar(16)`	The accrediting body.
level_achieved	`varchar(32)`	The level awarded in this cycle, from the body's own level list.
awarded_date	`date`	Date the accreditation was awarded.
expiry_date	`date`	Date it expires, three years after award.
status	`varchar(16)`	current, expired or lapsed. Lapsed means the facility let it run out without renewing, which real registries are full of.

+2 more columns in facility_accreditations. The full schema ships with the download.

facility_staffing· Rows: 911,860

Column	Type	Description
staffing_id	`varchar(16)`	Staffing row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
category_id	`varchar(16)`	The staff category counted in this row.
year	`integer`	Calendar year, 2015 to 2024.
headcount	`integer`	People employed in the category. Zero with open vacancies is an unfilled establishment, the rural staffing finding, and is present on purpose.
fte	`numeric(7,1)`	Full-time equivalents. In 2021 a deliberate cluster of facilities shows headcount rising while FTE falls: isolation and secondment, not an error.
vacancies	`integer`	Unfilled established posts.

+3 more columns in facility_staffing. The full schema ships with the download.

specialist_staffing· Rows: 1,146,180

Column	Type	Description
spec_staffing_id	`varchar(16)`	Specialist staffing row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
specialty_id	`varchar(8)`	The specialty counted in this row.
year	`integer`	Calendar year, 2015 to 2024.
consultant_count	`integer`	Consultants on staff. The matrix covers every hospital-tier facility against all 42 specialties, so a zero is the scarcity finding, not a missing row. Totals never exceed the facility's specialist physician headcount.
trainee_count	`integer`	Trainees in the specialty. Only teaching facilities have any.
visiting_count	`integer`	Visiting or sessional specialists, the standard workaround where no consultant is resident.

+2 more columns in specialist_staffing. The full schema ships with the download.

workforce_density· Rows: 2,760

Column	Type	Description
density_id	`varchar(8)`	Density row key. Primary key.
region_id	`varchar(8)`	Stable fictional identifier for region; use it for declared joins.
year	`integer`	Calendar year, 2015 to 2024.
doctors_per_10k	`numeric(6,2)`	Doctors per 10,000 region population. Exactly reproducible from facility_staffing; the build re-verifies it.
nurses_per_10k	`numeric(6,2)`	Nurses per 10,000 region population. Exactly reproducible from facility_staffing.
specialists_per_100k	`numeric(7,2)`	Specialist physicians per 100,000 region population. Exactly reproducible from facility_staffing.
who_threshold_flag	`boolean`	True when combined doctor and nurse density clears a WHO-style floor of 44.5 per 10,000. The threshold style is public classification knowledge.

+1 more columns in workforce_density. The full schema ships with the download.

catchments· Rows: 11,671

Column	Type	Description
catchment_id	`varchar(16)`	Catchment row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
district_id	`varchar(16)`	The district whose population this row serves. Per district, the population_served values sum exactly to the district population.
population_served	`integer`	People in this district served by this facility.
travel_time_band	`varchar(16)`	Coded travel time from the served population to the facility, UNDER_30_MIN to OVER_4_HOURS.
catchment_type	`varchar(16)`	primary for the facility's home district, secondary for referral coverage of other districts.

facility_utilisation· Rows: 90,000

Column	Type	Description
utilisation_id	`varchar(16)`	Utilisation row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
year	`integer`	Calendar year, 2015 to 2024.
admissions	`integer`	Inpatient admissions that year.
outpatient_visits	`integer`	Outpatient visits that year. The 2020 drop is the deepest in the panel.
emergency_visits	`integer`	Emergency visits that year.
surgeries	`integer`	Surgical procedures that year. 2020 is materially below 2019 in every country and 2022 does not fully recover in half of them.

+5 more columns in facility_utilisation. The full schema ships with the download.

referral_flows· Rows: 102,010

Column	Type	Description
flow_id	`varchar(16)`	Referral flow row key. Primary key.
from_facility_id	`varchar(16)`	The referring facility.
to_facility_id	`varchar(16)`	The receiving facility, one or two tiers up the chain.
year	`integer`	Calendar year, 2015 to 2024.
referral_count	`integer`	Referrals along this edge that year. Dips in 2020 and 2021.
dominant_specialty_id	`varchar(8)`	The specialty most of the edge's referrals belong to.
median_distance_km	`numeric(7,1)`	Road distance between the two facilities in kilometres, derived from their synthetic coordinates.

+1 more columns in referral_flows. The full schema ships with the download.

facility_covid_capacity· Rows: 432,000

Column	Type	Description
covid_capacity_id	`varchar(16)`	COVID capacity row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
year_month	`varchar(16)`	Month of this snapshot, 2019-01 to 2022-12 with no gaps. Import as text: spreadsheets convert values like 2019-01 to dates.
covid_beds	`integer`	Beds designated for COVID care that month. Zero through 2019 and at outpatient tiers.
covid_icu_beds	`integer`	ICU beds designated for COVID care.
ventilators_available	`integer`	Ventilators the facility holds.
ventilators_in_use	`integer`	Ventilators in use that month. Never exceeds the available count.

+3 more columns in facility_covid_capacity. The full schema ships with the download.

covid_admissions· Rows: 432,000

Column	Type	Description
covid_admission_id	`varchar(16)`	COVID admissions row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
year_month	`varchar(16)`	Month of this row, 2019-01 to 2022-12 with no gaps. Import as text: spreadsheets convert values like 2019-01 to dates.
admissions	`integer`	COVID admissions that month.
icu_admissions	`integer`	Of the admissions, how many went to ICU. Never exceeds admissions.
discharges	`integer`	COVID discharges that month.
deaths	`integer`	COVID deaths that month.

+3 more columns in covid_admissions. The full schema ships with the download.

service_disruption· Rows: 432,000

Column	Type	Description
disruption_id	`varchar(16)`	Disruption row key. Primary key.
facility_id	`varchar(16)`	Stable fictional identifier for facility; use it for declared joins.
year_month	`varchar(16)`	Month of this row, 2019-01 to 2022-12 with no gaps. Import as text: spreadsheets convert values like 2019-01 to dates.
elective_procedures_deferred	`integer`	Elective procedures deferred that month. 2020 collapses in every country.
outpatient_vs_baseline_pct	`numeric(6,1)`	Outpatient volume as a percentage of the 2019 baseline. Exactly 100 through the baseline year.
immunisation_sessions_cancelled	`integer`	Routine immunisation sessions cancelled that month, concentrated at primary-care facilities.
screening_suspended_flag	`boolean`	True when screening programmes were suspended that month.

+1 more columns in service_disruption. The full schema ships with the download.

vaccination_coverage· Rows: 6,622

Column	Type	Description
coverage_id	`varchar(16)`	Coverage row key. Primary key.
region_id	`varchar(8)`	Stable fictional identifier for region; use it for declared joins.
year_month	`varchar(16)`	Month of this row, 2021-01 to 2022-12. One region is deliberately missing two months. Import as text: spreadsheets convert values like 2021-01 to dates.
first_dose_pct	`numeric(5,1)`	First-dose coverage of the eligible population, in percent. Monotonic non-decreasing within a region.
second_dose_pct	`numeric(5,1)`	Second-dose coverage, in percent. Monotonic non-decreasing within a region.
booster_pct	`numeric(5,1)`	Booster coverage, in percent. Monotonic non-decreasing within a region.
campaign_phase	`varchar(32)`	Coded rollout phase, from health workers through boosters.

+2 more columns in vaccination_coverage. The full schema ships with the download.

covid_waves· Rows: 24

Column	Type	Description
wave_id	`varchar(8)`	Wave key. Primary key.
country_code	`varchar(8)`	ISO 3166-1 alpha-2 country code.
wave_number	`varchar(8)`	Wave sequence within the country, 1 to 4.
start_month	`varchar(16)`	Month the wave starts, as year-month.
peak_month	`varchar(16)`	Month the wave peaks.
end_month	`varchar(16)`	Month the wave ends.
variant_label	`varchar(16)`	Deliberately generic variant era label: early, alpha_like, delta_like or omicron_like.

+2 more columns in covid_waves. The full schema ships with the download.

disease_burden· Rows: 2,280,000

Column	Type	Description
burden_id	`varchar(16)`	Burden row key. Primary key.
district_id	`varchar(16)`	Stable fictional identifier for district; use it for declared joins.
year	`integer`	Calendar year, 2015 to 2024.
condition_code	`varchar(8)`	The condition this row measures.
incidence_per_100k	`numeric(8,1)`	Generated new cases per 100,000 district population. Zero for COVID-19 before 2020 is a real zero, not a gap.
prevalence_per_100k	`numeric(8,1)`	Generated existing cases per 100,000. Several times incidence for chronic conditions, below it for acute ones.
daly_band	`varchar(16)`	Coded disease burden band for the condition: LOW, MEDIUM, HIGH or VERY_HIGH.

+2 more columns in disease_burden. The full schema ships with the download.

population_health_indicators· Rows: 2,760

Column	Type	Description
indicator_id	`varchar(8)`	Indicator row key. Primary key.
region_id	`varchar(8)`	Stable fictional identifier for region; use it for declared joins.
year	`integer`	Calendar year, 2015 to 2024.
life_expectancy_years	`numeric(5,1)`	Generated life expectancy at birth for the region. Dips through 2020 and 2021 and only partly recovers.
infant_mortality_per_1k	`numeric(5,1)`	Generated infant deaths per 1,000 live births.
maternal_mortality_per_100k	`numeric(6,1)`	Generated maternal deaths per 100,000 live births.
immunisation_coverage_pct	`numeric(5,1)`	Generated routine immunisation coverage in percent. The COVID-era dip does not fully recover by 2024: the scar is deliberate.

+6 more columns in population_health_indicators. The full schema ships with the download.

condition_codes· Rows: 95

Column	Type	Description
condition_code	`varchar(8)`	Condition key. Primary key. The codes are this dataset's own and follow no real coding system.
condition_name	`varchar(48)`	The condition in generic medical vocabulary.
condition_category	`varchar(24)`	communicable, non_communicable, injury or maternal_neonatal.
chronic_flag	`boolean`	True when the condition is chronic, which drives the prevalence-to-incidence ratio in disease_burden.

hf_countries· Rows: 6

Column	Type	Description
country_code	`varchar(8)`	ISO 3166-1 alpha-2 country code. Primary key; the only real-world identity in the dataset.
country_name	`varchar(16)`	Country name in English.
iso3_code	`varchar(8)`	ISO 3166-1 alpha-3 code for the same country.
population_band	`varchar(16)`	Coded population size band. The band is the statement; no exact national population ships anywhere in the dataset.
population_band_description	`varchar(56)`	What the population band means in words.
income_group	`varchar(16)`	World-Bank-style income classification code: HIC, UMIC or LMIC.
income_group_description	`varchar(40)`	What the income group code means in words.

+5 more columns in hf_countries. The full schema ships with the download.

hf_admin_regions· Rows: 276

Column	Type	Description
region_id	`varchar(8)`	Generated region identifier, <country>-R<seq>. Primary key; foreign key on every region-grain table.
country_code	`varchar(8)`	ISO 3166-1 alpha-2 country code.
region_name	`varchar(24)`	Generated region name in the country's own naming style. Invented; collisions with real first-level areas are a build failure.
region_type	`varchar(24)`	The country's own word for this unit: provinsi, negeri, planning_area, changwat, province or tinh.
capital_flag	`boolean`	True for exactly one region per country, the capital region. Specialist concentration follows it.
urbanisation_band	`varchar(16)`	URBAN, MIXED or RURAL. Drives facility placement, staffing levels and vaccination rollout speed.
population	`integer`	Generated population of the region. Realistic in ordering and proportion only; region populations partition the country total exactly.

+4 more columns in hf_admin_regions. The full schema ships with the download.

hf_districts· Rows: 2,400

Column	Type	Description
district_id	`varchar(16)`	Generated district identifier, <region>-D<seq>. Primary key.
region_id	`varchar(8)`	Stable fictional identifier for region; use it for declared joins.
district_name	`varchar(24)`	Generated district name. Invented; below first level an accidental match with some real place cannot be ruled out and is disclosed.
district_type	`varchar(24)`	The country's own administrative word for the district: kabupaten, kota, daerah, subzone, amphoe, municipality, component_city, huyen or quan.
settlement_type	`varchar(16)`	urban, peri_urban, rural or remote. Drives facility mix, staffing shortfalls and disease burden gradients.
population	`integer`	Generated district population. District populations partition their region's population exactly, which is what makes the catchment reconciliation assertable.
households	`integer`	Generated household count for the district.

+3 more columns in hf_districts. The full schema ships with the download.

facility_tiers· Rows: 5

Column	Type	Description
tier_id	`varchar(8)`	Cross-country tier key, T1 to T5. The column a cross-country analysis joins on.
tier_code	`varchar(24)`	Stable code for the tier: NATIONAL_REFERRAL down to CLINIC.
tier_name	`varchar(24)`	The tier in words.
tier_description	`varchar(168)`	What sits at this tier and what it refers upward.

facility_classes· Rows: 33

Column	Type	Description
class_id	`varchar(32)`	National class key, <country>-<class code>. Primary key.
country_code	`varchar(8)`	ISO 3166-1 alpha-2 country code.
class_code	`varchar(24)`	The class within its national scheme: KELAS_A, DOH_LEVEL_3, REGIONAL and their peers. The schemes are real public classification; the facilities filling them are not.
class_name	`varchar(48)`	The class as the national scheme names it.
tier_id	`varchar(8)`	The one cross-country tier this class maps to. The mapping is total: every class maps to exactly one tier.
class_description	`varchar(152)`	What the class means within its country's scheme.
min_beds	`integer`	This dataset's regulatory floor for the class. Every facility of the class carries at least this many beds in every year; the build re-verifies it.

+2 more columns in facility_classes. The full schema ships with the download.

ownership_types· Rows: 12

Column	Type	Description
ownership_id	`varchar(16)`	Ownership form key. Primary key.
ownership_name	`varchar(40)`	The ownership form in words.
ownership_description	`varchar(120)`	What the ownership form means.

accreditation_bodies· Rows: 8

Column	Type	Description
body_id	`varchar(16)`	Accreditation body key. Primary key.
country_code	`varchar(8)`	Country the body operates in. Empty for the two international bodies, which accredit across all six.
body_name	`varchar(56)`	Generated body name. The bodies are invented, because real accreditation bodies are organisations; the schemes they run are shaped like real national programmes.
scheme_name	`varchar(48)`	Name of the accreditation scheme the body runs.
levels_available	`varchar(56)`	The ordered levels the scheme can award, pipe-separated.
international_flag	`boolean`	True for the two international bodies.

hf_specialties· Rows: 42

Column	Type	Description
specialty_id	`varchar(8)`	Specialty key, SP-<code>. Primary key. The codes are this dataset's own.
specialty_name	`varchar(48)`	The clinical specialty in words.
parent_group	`varchar(16)`	medical, surgical, diagnostic or support.
training_years	`integer`	Years of postgraduate training the specialty takes, used to shape scarcity.
scarcity_band	`varchar(16)`	COMMON, SCARCE or CAPITAL. Drives geographic concentration: capital-band specialties effectively exist only in national referral centres.
scarcity_band_description	`varchar(104)`	What the scarcity band means for where the specialty is found.

staff_categories· Rows: 18

Column	Type	Description
category_id	`varchar(16)`	Staff category key, STC-<code>. Primary key.
category_name	`varchar(32)`	The workforce category in words.
clinical_group	`varchar(16)`	DOCTOR, NURSE, ALLIED or NON_CLINICAL. The grain the density and specialist assertions aggregate over.
category_description	`varchar(128)`	Who is counted in this category.

Sample Data

A snapshot of real rows from the dataset (values are fully synthetic).

facility_id	facility_code	facility_name	class_id	tier_id	ownership_id	established_year	teaching_flag	referral_flag	status
HF000001	ID-R01-00001E	RSUP Cilestari	ID-KELAS_A	T1	OWN-GN	1957	true	true	active
HF000002	ID-R01-00002L	RSUP Cilestari II	ID-KELAS_A	T1	OWN-SOE	1937	true	true	active
HF000003	ID-R01-00003S	RSUP Cilestari III	ID-KELAS_A	T1	OWN-SOE	1924	true	true	active

class_id codes

Every code this dataset uses, with what it means. The same mapping ships in the files.

class_id	country	class_name	tier	class_description	min_beds	required_specialties
ID-KELAS_A	ID	Rumah Sakit Kelas A	T1	Top national classification. Full subspecialty and teaching capability; the referral end point of the system.	400	18
ID-KELAS_B	ID	Rumah Sakit Kelas B	T2	Provincial referral classification with broad specialist services and intensive care.	200	11
ID-KELAS_C	ID	Rumah Sakit Kelas C	T3	District hospital classification. The four base specialist services plus emergency and inpatient care.	100	4
ID-KELAS_D	ID	Rumah Sakit Kelas D	T3	Small district hospital classification, general practice led with limited specialist visits.	25	2
ID-KLINIK	ID	Klinik Pratama	T5	Licensed outpatient clinic, mostly private.	0	0
ID-PUSKESMAS	ID	Pusat Kesehatan Masyarakat	T4	Sub-district primary care centre. Outpatient, maternal and child health, immunisation; some carry a few observation beds.	0	0
MY-DISTRICT_MINOR	MY	District hospital without specialists	T3	District hospital run by medical officers, visited by specialists on rotation.	30	0
MY-DISTRICT_SPECIALIST	MY	District hospital with specialists	T3	District hospital carrying resident specialists in the base disciplines.	80	4
MY-KLINIK_DESA	MY	Klinik Desa	T5	Village-level community clinic run by nurses and midwives.	0	0
MY-KLINIK_KESIHATAN	MY	Klinik Kesihatan	T4	Public primary care health clinic.	0	0
MY-NATIONAL_REFERRAL	MY	National referral hospital	T1	Federal tertiary referral and teaching centre.	500	20
MY-STATE_GENERAL	MY	State general hospital	T2	The specialist referral hospital of one state.	250	12
PH-BARANGAY_STATION	PH	Barangay health station	T5	Village health post staffed by midwives and health workers.	0	0
PH-DOH_LEVEL_1	PH	Level 1 hospital	T3	First-referral hospital with the base clinical services and operating capability.	25	2
PH-DOH_LEVEL_2	PH	Level 2 hospital	T2	Departmentalised hospital with intensive care and the major specialist departments.	100	6
PH-DOH_LEVEL_3	PH	Level 3 hospital	T1	Teaching and training hospital with subspecialty and tertiary clinical services.	300	15
PH-INFIRMARY	PH	Infirmary	T4	Small inpatient unit for uncomplicated cases, below Level 1.	6	0
PH-RURAL_HEALTH_UNIT	PH	Rural health unit	T4	Municipal primary care and public health unit.	0	0
SG-ACUTE_GENERAL	SG	Acute general hospital	T1	Acute tertiary hospital within a public healthcare cluster.	400	18
SG-COMMUNITY_HOSPITAL	SG	Community hospital	T3	Step-down inpatient care, rehabilitation and sub-acute beds.	50	1
SG-POLYCLINIC	SG	Polyclinic	T4	Public primary care group practice.	0	0
SG-PRIVATE_CLINIC	SG	Private clinic	T5	Private general practice or specialist clinic.	0	0
SG-SPECIALIST_CENTRE	SG	National specialty centre	T2	Single-discipline national centre operating alongside the acute hospitals.	100	3
TH-COMMUNITY	TH	Community hospital	T3	District-level hospital, first-level inpatient care.	30	1
TH-GENERAL	TH	General hospital	T2	Standard-level provincial hospital with the major specialist services.	150	8
TH-HEALTH_PROMOTING	TH	Health promoting hospital	T4	Sub-district primary care and prevention unit.	0	0
TH-PRIVATE_CLINIC	TH	Private clinic	T5	Licensed private outpatient practice.	0	0
TH-REGIONAL	TH	Regional hospital	T1	Advanced-level hospital serving a group of provinces with full subspecialty care.	500	18
VN-CENTRAL	VN	Central hospital	T1	Ministry-level hospital at the top of the four-level system.	500	18
VN-COMMUNE_STATION	VN	Commune health station	T4	Commune-level primary care station, the base of the system.	0	0
VN-DISTRICT	VN	District hospital	T3	District-level hospital providing first-level inpatient care.	50	2
VN-PRIVATE_CLINIC	VN	Private clinic	T5	Licensed private outpatient practice, concentrated in cities.	0	0
VN-PROVINCIAL	VN	Provincial hospital	T2	The general hospital of one province.	200	10

Version History

v1.0.0	2026-08-10	First release. 9,000 generated facilities across six Southeast Asian countries with ten years of capacity, staffing, utilisation and accreditation history, a full hospital-by-specialty scarcity matrix, district-level disease burden, and 48 months of facility-level COVID operations data.

Related Datasets

Healthcare Claims and Revenue Cycle Analytics Set (US)

Healthcare

HLTRCM999 is a deterministic synthetic United States provider revenue cycle: 21,000 patients, 62,000 encounters, 58,000 claims against 26 payers, and every remittance, denial, appeal, statement and write off that followed, with contracted rates that make underpayment visible.

$349one time

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