Income per resident
1.04 m Fta year, 2024
383 in every 1,000 residents pay personal income tax.
Somogy · Barcsi district · population 539 · beneficiary settlement
Everything public data tells about this settlement: whether it has a doctor, how far care is, whether a bus gets there, and where it stands in the national ranking.
Bar lengths are measured against the settlement's largest group.
Of a hundred residents, this many fall into each age group. Hover or click: the centre of the pie shows the exact number.
Source: KSH, 2022 census (CC BY 4.0). The shares above refer to the census population of 515; the 539 at the top of the page comes from KSH's latest gazetteer, so the two differ.
Income, work, births and deaths, moving away — the settlement beside its járás, its county and the median Hungarian settlement. These are the reasons a district is hard to fill, and the reasons people here die sooner.
1.04 m Fta year, 2024
383 in every 1,000 residents pay personal income tax.
6.8%24 registered jobseekers of 353 of working age, September 2026
33% of them have been looking for over a year.
−25.1‰per 1,000 residents, 2022–2025 average
Births minus deaths. A negative number means more people die than are born.
+17.5‰per 1,000 residents, 2022–2025 average
People moving in minus people moving out, within the country. A negative number means more leave than arrive.
● this settlement | járás | county | country
Settlement data of the 2022 KSH census. Digital skills show how far a phone consultation or an e-prescription can stand in for a surgery; a household of only the old has no one to drive a patient.
11% chance that the district serving this settlement is vacant in 12 months.
1 of the serving districts are in the country's riskiest tenth.
A forecast, not a prophecy: from the past risk of filled districts and the past refill pace of vacant ones. It is about the settlement, never about a particular doctor.
7.4GP districts expected vacant in 12 months; 7 of 15 today
Expected: 0.6 districts falling vacant and 0.2 filled; the 90% band is 6.0–8.8. A forecast, not a promise: from the past risk of filled districts and the past refill pace of vacant ones.
Avoidable mortality in Barcsi járás: 489 per 100,000 (2024); the rural median is 450.
This is a járás figure: NNGYK publishes no settlement-level avoidable mortality, because so few deaths cannot give a reliable rate. The járás's health data →
In a small settlement a few births or moves shift the rate a lot, so the vital statistics are four-year averages; for the smallest villages they still need reading with care.
Sources: KSH TIMEA (income from NAV data), KSH 2022 census, NFSZ settlement data, NNGYK mortality database, NEAK grant winners and monthly data; the forecast is our own calculation.
Exactly where they are: the staffed surgeries with the doctor's name, the pharmacies, and whatever else is in the settlement. The map loads only on a click, so the page stays readable at once.
Pharmacy
The points are geocoded addresses (Nominatim/OpenStreetMap), not a survey on the ground: where an address is imprecise the marker falls on the settlement centre, and its bubble says so. Map: © MapTiler, data: © OpenStreetMap contributors.
Has a staffed district.
Served by 1 staffed and 0 vacant or dissolved districts.
Not on any district's list.
The register lists this settlement under no district.
No staffed district has a surgery in this settlement — below are the districts that serve it, and where the nearest care is.
What is vacant
Vacant is not the same as unserved: substitution does not show in public data.
No dental district's list names this settlement. Not because it has no care, but because for dentistry NEAK publishes only the district's seat, not the settlements it serves — the GP register carries them, the dental one does not. The actual district boundary is set by municipal decree, which is not published centrally in machine-readable form.
The nearest dental surgery is in Barcs, 20.3 min by car. That is the nearest one, not necessarily the one the settlement officially belongs to.
Health visitors
By car in free-flowing traffic on the OpenStreetMap road network — with the straight-line distance beside it, because the two are not the same.
| Care | Drive | Straight line | Where |
|---|---|---|---|
| GP surgery | 6.8 min | 5.2 km | Szulok |
| Dental surgery | 20.3 min | 13.1 km | Barcs |
| Central on-call service | 19.9 min | 13.1 km | Barcs |
| Ambulance station | 19.9 min | 12.8 km | Barcs |
| Hospital | 20.4 min | 13.1 km | Barcs |
| Outpatient clinic | 20.2 min | 13.1 km | Barcs |
| Medical aids | 20 min | 13.1 km | Barcs |
| Pharmacy | 0 min | 0 km | here |
| Emergency department | 30.9 min | 13.1 km | Szigetvár |
| Pharmacy | Address |
|---|---|
| Szulok | 7538 Kálmáncsa, Szebadság Tér 6 |
Pharmacy
The pharmacies on the map, at street level. The points are geocoded addresses (Nominatim/OpenStreetMap), not a survey on the ground: where an address is imprecise the marker falls on the settlement centre, and its bubble says so. Map: © MapTiler, data: © OpenStreetMap contributors.
On an average Wednesday there are 13 scheduled departures from the settlement, and 18 other settlements can be reached directly.
Trains are not in the data: MÁV's timetable is available only after registration. “No direct bus” does not mean there is no way to get there.
0 — the best-placed settlement100 — the worst
Kálmáncsa ranks 225 of 3,177 settlements — better placed than 92.9% of the country.
high risk
Ranked 225 highest of the country's 3,177 settlements on the composite care-risk index.
Where does this settlement stand?
The index is a weighted mean of eight public measures, from national percentiles. A comparison, not a verdict: a high value means several measures point the same way — not that there is no care. The method in detail.
Compared with the 2025-12 snapshot from our own archive.
We compare only what every month has data for: vacant and dissolved districts and changes of doctor. Driving times, bus access and the pharmacy network are not available back in time, so no change is claimed for them. At county level, turnover shows how often doctors change.