| Populația ce trăiești la mai puțin de 15 minute de condus de un spital în 2020 |
(%, după regiunile NUTS3/județe) | |
| Media UE27 = 82.5 | ||
| Clase de acces la spital | = 100.0 | 1 |
| 95.0 – < 100.0 | 2 | |
| 85.0 – < 95.0 | 3 | |
| 66.5 – < 85.0 | 4 | |
| 50.0 – < 66.5 | 5 | |
| < 50.0 | 6 | |
| Lipsă date |
: |
|
| Surse: | Eurostat Regional Yearbook 2022
Capitolul 2 – Sănătate Publică |
|
| Source: TomTom Multinet, 2020, Geostat population grid 2018, Eurostat-GISCO hospital location, 2020 – https://ec.europa.eu/eurostat/statistics-explained/images/2/21/02_Health_RYB2022.xlsx |
| România | |||
| Cod | Nume Județ | % populație |
Clasă de acces |
| RO111 | Bihor | 54,8 |
5 |
| RO112 | Bistriţa-Năsăud | 50,9 |
5 |
| RO113 | Cluj | 62,4 |
5 |
| RO114 | Maramureş | 55,1 |
5 |
| RO115 | Satu Mare | 59,4 |
5 |
| RO116 | Sălaj | 18,1 |
6 |
| RO121 | Alba | 14,1 |
6 |
| RO122 | Braşov | 64,0 |
5 |
| RO123 | Covasna | 6,9 |
6 |
| RO124 | Harghita | 54,2 |
5 |
| RO125 | Mureş | 40,6 |
6 |
| RO126 | Sibiu | 63,4 |
5 |
| RO211 | Bacău | 49,3 |
6 |
| RO212 | Botoşani | 48,6 |
6 |
| RO213 | Iaşi | 52,8 |
5 |
| RO214 | Neamţ | 6,7 |
6 |
| RO215 | Suceava | 56,6 |
5 |
| RO216 | Vaslui | 22,1 |
6 |
| RO221 | Brăila | 63,7 |
5 |
| RO222 | Buzău | 50,4 |
5 |
| RO223 | Constanţa | 66,8 |
4 |
| RO224 | Galaţi | 66,1 |
5 |
| RO225 | Tulcea | 8,3 |
6 |
| RO226 | Vrancea | 57,3 |
5 |
| RO311 | Argeş | 62,3 |
5 |
| RO312 | Călăraşi | 54,4 |
5 |
| RO313 | Dâmboviţa | 38,4 |
6 |
| RO314 | Giurgiu | 45,4 |
6 |
| RO315 | Ialomiţa | 27,5 |
6 |
| RO316 | Prahova | 65,7 |
5 |
| RO317 | Teleorman | 28,7 |
6 |
| RO321 | Bucureşti | 99,9 |
2 |
| RO322 | Ilfov | 65,5 |
5 |
| RO411 | Dolj | 57,7 |
5 |
| RO412 | Gorj | 13,7 |
6 |
| RO413 | Mehedinţi | 7,9 |
6 |
| RO414 | Olt | 41,1 |
6 |
| RO415 | Vâlcea | 57,9 |
5 |
| RO421 | Arad | 44,5 |
6 |
| RO422 | Caraş-Severin | 18,6 |
6 |
| RO423 | Hunedoara | 27,3 |
6 |
| RO424 | Timiş | 66,5 |
4 |
| Media RO | 65,7 | ||
|
Bulgaria |
|||
| BG311 | Vidin | 63,3 |
5 |
| BG312 | Montana | 67,4 |
4 |
| BG313 | Vratsa | 63,9 |
5 |
| BG314 | Pleven | 73,4 |
4 |
| BG315 | Lovech | 65,6 |
5 |
| BG321 | Veliko Tarnovo | 73,9 |
4 |
| BG322 | Gabrovo | 89,4 |
3 |
| BG323 | Ruse | 75,1 |
4 |
| BG324 | Razgrad | 65,2 |
5 |
| BG325 | Silistra | 58,4 |
5 |
| BG331 | Varna | 81,0 |
4 |
| BG332 | Dobrich | 72,4 |
4 |
| BG333 | Shumen | 64,3 |
5 |
| BG334 | Targovishte | 68,0 |
4 |
| BG341 | Burgas | 74,8 |
4 |
| BG342 | Sliven | 72,6 |
4 |
| BG343 | Yambol | 76,7 |
4 |
| BG344 | Stara Zagora | 84,9 |
4 |
| BG411 | Sofia (stolitsa) | 99,3 |
2 |
| BG412 | Sofia | 74,0 |
4 |
| BG413 | Blagoevgrad | 67,7 |
4 |
| BG414 | Pernik | 77,6 |
4 |
| BG415 | Kyustendil | 86,6 |
3 |
| BG421 | Plovdiv | 86,6 |
3 |
| BG422 | Haskovo | 77,8 |
4 |
| BG423 | Pazardzhik | 70,3 |
4 |
| BG424 | Smolyan | 41,1 |
6 |
| BG425 | Kardzhali | 56,4 |
5 |
| Media BG | 75,4 | ||
|
Ungaria |
|||
| HU110 | Budapest | 100,0 |
1 |
| HU120 | Pest | 69,6 |
4 |
| HU211 | Fejér | 57,8 |
5 |
| HU212 | Komárom-Esztergom | 69,0 |
4 |
| HU213 | Veszprém | 83,1 |
4 |
| HU221 | Győr-Moson-Sopron | 77,4 |
4 |
| HU222 | Vas | 54,2 |
5 |
| HU223 | Zala | 64,7 |
5 |
| HU231 | Baranya | 76,0 |
4 |
| HU232 | Somogy | 59,5 |
5 |
| HU233 | Tolna | 60,5 |
5 |
| HU311 | Borsod-Abaúj-Zemplén | 62,8 |
5 |
| HU312 | Heves | 57,4 |
5 |
| HU313 | Nógrád | 59,5 |
5 |
| HU321 | Hajdú-Bihar | 48,5 |
6 |
| HU322 | Jász-Nagykun-Szolnok | 51,1 |
5 |
| HU323 | Szabolcs-Szatmár-Bereg | 34,5 |
6 |
| HU331 | Bács-Kiskun | 40,4 |
6 |
| HU332 | Békés | 28,4 |
6 |
| HU333 | Csongrád | 74,4 |
4 |
| Media HU | 77,8 |
| Sursa: | Treatable and preventable mortality of residents by cause and sex [HLTH_CD_APR__custom_3693040] | ||
| Last updated: | 30/09/2022 23:00 | ||
| Time frequency | Annual | ||
| Type of mortality | Treatable mortality | ||
| Sex | Total | ||
| International Statistical Classification of Diseases and Related Health Problems (ICD-10 2010) | Total | ||
| Unit of measure | Rate for each 100.000 citizens | ||
|
TIME |
2019 | ||
| GEO (Labels) | |||
| Bulgaria |
188,95 |
||
| Germania |
81,72 |
||
| Ungaria |
173,21 |
||
| România |
208,34 |
||
Sursa datelor: https://ec.europa.eu/eurostat/statistics-explained/images/2/21/02_Health_RYB2022.xlsx