Income per resident
3.09 m Fta year, 2024
559 in every 1,000 residents pay personal income tax.
Heves · Gyöngyösi district · population 1,750
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 1,754; the 1,750 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.
3.09 m Fta year, 2024
559 in every 1,000 residents pay personal income tax.
3.4%38 registered jobseekers of 1,120 of working age, September 2026
24% of them have been looking for over a year.
−3.0‰per 1,000 residents, 2022–2025 average
Births minus deaths. A negative number means more people die than are born.
+12.7‰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.
11,626a year, 2025
Surgery visits, home visits and telemedicine together. Where districts nearby are empty, the remaining doctors carry more.
● 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.
8% chance that the district serving this settlement is vacant in 12 months.
1 of the serving districts are in the country's riskiest tenth.
4% chance that the district serving this settlement is vacant in 12 months.
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.
12.5GP districts expected vacant in 12 months; 11 of 49 today
Expected: 2.0 districts falling vacant and 0.4 filled; the 90% band is 10.1–15.0. A forecast, not a promise: from the past risk of filled districts and the past refill pace of vacant ones.
Avoidable mortality in Gyöngyösi járás: 426 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.
Dental surgeryGP surgeryPharmacy
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.
Has a staffed district.
Served by 1 staffed and 0 vacant or dissolved districts.
3213 Atkár, Fő út 87. 1 doctors
Jakab Kálmán Dr. 1 districts
3213 Atkár, Fő út 87. 1 doctors
Dr. Tóth Rita 1 districts
The doctor's name comes from NEAK's register of contracted providers and is shown only for staffed districts. “Since” comes from our own archive (monthly NEAK snapshots kept since 2017-10), not from a start date NEAK publishes; no public source gives surgery hours.
What is vacant
Vacant is not the same as unserved: substitution does not show in public data.
Health visitors
| Address | Provider | Services |
|---|---|---|
| 3213 Atkár, Fő út 87. | Heves Vármegyei Markhot Ferenc Kórház, Eger | 1 |
No public register names the health visitor — the service and its provider, yes; the person, no. (Doctors' names, too, are shown only for staffed districts, from NEAK's own publication.)
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 | 0 min | 0 km | here |
| Dental surgery | 3.7 min | 3.4 km | Gyöngyöshalász |
| Central on-call service | 9.3 min | 8.2 km | Gyöngyös |
| Ambulance station | 7.2 min | 6.9 km | Gyöngyös |
| Hospital | 7.8 min | 7.3 km | Gyöngyös |
| Outpatient clinic | 7.8 min | 7.3 km | Gyöngyös |
| Medical aids | 7.5 min | 7.3 km | Gyöngyös |
| Pharmacy | 0.6 min | 0.4 km | here |
| Emergency department | 7.8 min | 7.3 km | Gyöngyös |
| Pharmacy | Address |
|---|---|
| Vámosgyörk | 3213 Atkár, Fő 87. B. |
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 90 scheduled departures from the settlement, and 58 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
Atkár ranks 3,049 of 3,177 settlements — better placed than 4.1% of the country.
low risk
Ranked 3,049 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.