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