With statistics through Warsaw Warsaw 2018 Content-related works Statistical Office inWarszawa, Mazovian Centre for Regional Surveys supervised by Tomasz Zegar Editorial team Małgorzata Bieńkowska, Anna Cacko, Joanna Podolska Typesetting and graphics Anna Cacko Translation Agnieszka Gromek-Żukowska Icon design on pages: 9, 14, 18, – publicdomainvectors.org Publication available on website http://warszawa.stat.gov.pl When publishing Statistical Office data please indicate the source. LOCATION AND ADMINISTRATIVE DIVISION 2 Legionowski powiat 517,2 km area of Warsaw Wisła 15,4% Wawer district Białołęka highest share in the area in total Wołomiński powiat Bielany Targówek 1,6% Żoliborz district Warszawski zachodni powiat Praga- lowest share in the area in total Żoliborz Rembertów -Północ Bemowo Praga- Wesoła Wola -Południe 2 Śródmieście Miński powiat Area (in km ) by districts in 2017 As of 1 I Ochota Ursus Mokotów Wawer Bemowo 25,0 Białołęka 73,0 Wilanów Pruszkowski powiat Ursynów Bielany 32,3 Otwocki powiat Mokotów 35,4 Piaseczyński powiat Ochota 9,7 Praga-Południe 22,4 City borders District borders Praga-Północ 11,4 Furthest points Rembertów 19,3 Śródmieście 15,6 Targówek 24,2 Ursus 9,4 Ursynów 43,8 Geographical location of Warsaw Wawer 79,7 longitude east north latitude Wesoła 22,9 Wilanów 36,7 o o 20 51'06" west 52 22'05"north Włochy 28,6 Wola 19,3 o o 21 16'16"east 52 05'52"south Żoliborz 8,5 1 GEOGRAPHY. ENVIRONMENT Geodesic area 2016 2017 by directions of land use in 2017 Area in km2 517,2 517,2 As of 1 I per 1 inhabitant in m2 295 293 Average air temperature ino C 9,8 9,4 maximum 20,0 19,7 minimum -2,9 -3,7 Total annual precipitation in mm 593 705 Average wind velocity in m/s 3,4 3,5 Insolation in h 1836 1351 Average cloudiness in octantsa 5,3 5,6 a Degree of cloudiness: 0 (no clouds) to 8 (total cloud cover). Structure of built-up and urbanized land in 2017 As of 1 I 4,0% 28,4% 5,4% 8,5% 33,4% 20,4% In percent: Urbanized non-built-up areas or during built-up Industrial areas arable land (23,7%) built-up and urbanized areas (56,2%) Transport areas Residential areas forest land (16,0%) lands under waters (3,4%) Recreational areas Other built-up areas other land (0,7%) Ochota district Wilanów district highest share in built-up lowest share in built-up and urbanized areas and urbanized areas 2 GEOGRAPHY. ENVIRONMENT Area of parks, lawns and green areas of housing estates 2016 2017 per 1 inhabitant and monuments of nature in 2017 As of 31 XII Water withdrawal for needs of the national economy and population in m 3 146,5 145,4 Industrial and municipal wastewater requiring treatment in dam 3 102674 103087 40 484 Population connected to wastewater treatment plantsa in % of total population 98,4 98,3 28 Emission of pollutants in tonnes: 4 13 – 14 6 particulates 646 520 of which particulates from 43 10 609 503 42 the combustionof fuels 14 19 gases (excluding CO 2 ) 19573 18103 13 46 72 24 Mixed municipal waste collected from households per 1 inhabitant in kg 334 320 51 45 Area 2 per1 inhabitant in m : a Population using wastewater treatment plants – estimated data; total population – based on 30,1—33,5 (1) Monuments of nature balances. 20,1—30,0 (6) 10,1—20,0 (7) 1,6—10,0 (4) Number of districts in the brackets. Outlays on fixed assets in 2017 for environmental protection for water management 252,1 mln PLN total 94,7 mln PLN total 62,9 72,4 24,9 143,39 PLN per capita 27,6 53,85 PLN per capita 6,9 1,7 In %: In %: 3,6 wastewater management and water protection water intakes and supply protection of atmospheric air and climate construction waste management and protection of land, ground and modernization of water and surface waters treatement stations reduction of noice and vibration other 3 POPULATION a 2016 2017 Structure of population by economic age groups a Population in thous. 1754,0 1764,6 women 948,6 953,8 2016 17,2% 59,1% 23,7% men 805,4 810,8 Women per 100 men 118 118 Median age 41,1 41,3 2017 17,6% 58,4% 24,0% women 42,7 42,9 men 39,4 39,6 2030 17,8% 57,8% 24,4% Average life expectancy (projection) women 82,7 82,7 Age: men 76,2 76,5 pre-working working post-working Population density a in 2017 Non-working age populationa per 100 working age population in 2017 3412 71 2 Population per 1 km : In persons: 7001—8547 (4) 75—78 (4) 5001—7000 (5) 70—74 (5) 3001—5000 (3) 65—69 (7) 953—3000 (6) 59—64 (2) Number of districts in the brackets. Number of districts in the brackets. a As of 31 XII. 4 POPULATION 2016 2017 Internal migration of populationa for permanent residence by age groups in 2017 Per 1000 population: marriages 4,99 5,11 8000 7000 divorces 1,79 1,99 6000 live births 12,00 12,12 5000 + deaths 10,58 10,87 4000 Live births per 1000 women 3000 aged 15–49 49,24 49,85 2000 – 1000 – Total fertility rate 1,416 1,485 0 0-9 10-19 20-29 30-39 40-49 50-59 60 years and more Inflow Outflow Net migration a Excluding migrations within the borders ofWarsaw. Vital statistics in 2017 Net migration a for permanent residence in 2017 4,46 Natural increase per 1000 population: Per 1000 population: 10,00— 16,62 (2) Per 1000 population: 10,00—49,02 (4) 20 5,00— 9,99 (2) 5,00— 9,99 (5) 0,00— 4,99 (6) 10 0,00— 4,99 (5) –7,45— –0,01 (8) -10,68—-0,01 (4) 0 Number of districts in the brackets. births deaths Number of districts in the brackets. a Including migrations betweenWarsaw districts. 5 EDUCATION 2016/2017 2017/2018 Establishments Students Graduates Schools: Pre-primary education establishments 1026 1077 primary 403 124254 of which nursery schools 715 751 Places in nursery schools in thous. 68,4 75,9 lower secondary 57 31440 12887 Children in pre-primary education a sectoralVET school 32 2169 bc607 establishments in thous. 73,0 78,1 of which at the age of: general secondary 187 44752 12764 5 years 19,7 20,1 technical secondary 55 17129 3236 6 years 13,4 17,3 for youth general art schoolsd 6 785 89 of which in nursery schools 61,1 67,3 post-secondary 101 13960 3702 a Including special job-training schools. b Including 1157 students of branches of basic vocational schools for youth. c Graduates of basic vocational schools. d Leading to professional certification. Pre-primary education in the school year 2017/2018 Structure of graduates of upper secondary schools from the 2016/2017 school year Wisła Basic vocationala (3,6%) Technical secondary b (19,9%) General Children aged 3–6 secondary per 100 places (76,5%) in nursery schools: 140 100 50 0 Percentage of children aged 3–6 included in pre-primary education: 110,1—119,4 (4) 100,1—110,0 (6) a Including special job-training schools. b Including general art schools leading to professional 90,1—100,0 (7) certification. 79,1—90,0 (1) Number of districts in the brackets. 6 EDUCATION 2016/2017 2017/2018 Students by actual location of school/section in the academic year 2017/2018 Higher education institutions 70 a 70 Students b total 239542 230268 of which foreigners 19706 21683 Białołęka study forms: full-time programmes 144868 140333 Targówek part-time programmes 94674 89935 Bielany Żoliborz Praga-Północ Graduates bc 56526 60809 Bemowo Rembertów Wola Praga-Południe a Including higher education institutions, in which only graduates of the previous academic year Śródmieście have been shown. b According to actual location of organizational units. c From the previous Ochota academic year. Mokotów N o t e. In the 2017/2018 academic year, the number of higher education institutions in total was Włochy given in accordance with higher education register administered by the Ministry of Science and Higher Education. Information on students and graduates concerns 63 higher education institutions that 100000 submitted statistical reports. Ursynów 50000 25000 10000 Structure of studentsa of higher education institutions by type Graduates of higher education institutions a from the 2016/2017 of school in the 2017/2018 academic year 1,7 academic year by selected fields of education in total % of 1,3 2,9 graduates of given sex 0,6 Education 3,9 24,5 19,7 16,4 13,9 8,3 6,6 4,2 12,7 Humanities and arts 5,9 0% 20% 40% 60% 80% 100% 9,3 Social science, journalism 13,6 Universities Medical universities 18,6 Academies of economics Higher teacher education schools and information Technical universities Fine art. academies 24,4 Business, administration and law Other higher education institutions Physical academies 28,2 Agricultural academies Theological academies Engineering trades, industry, 25,4 Academies of the Ministry of National 11,8 Defence and the Ministry of Interior construction and Administration Health and social services 2,8 a According to actual location of organizational units. 6,5 Services 10,3 Men Women a By the institution headquarters. 6,7 7 LABOUR MARKET 2016 2017 Employed persons by sections and sex in 2017 As of 31 XII Employed a total 896400 934342 women men of which women 474817 494193 Sections: From the total number: in % industry 8,7% industry and construction 116797 123452 trade; repair of motor vehicles,D construction 4,5% transportation and storage, accommodation and catering,D D trade; repair of motor vehicles 15,9% information and communication 286999 300528 financial and insurance activities, transportation and storage 6,5% real estate activities 112082 116704 D a As of 31 XII.