Kategoria katika Windom
Duka la Vipuri vya MagariEneo la Kuosha GariKituo cha GesiKutumika gari wafanyabiasharaMarekebisho na Matengenezo ya MagariUtengenezaji wa magariMkulima wa MazaoUkulimaMaduka ya nguoWanawake mavaziMtoa Huduma ya TovutiHuduma za Kusafirisha na Kutuma ujumbeHuduma za Ushauri na UsaidiziKanisa la KilutheriMakanisaOfisi ya Serikali ya JijiOfisi ya Serikali ya KauntiShirika la Huduma za JamiiShirika la KidiniShirika la KiduguFundi umemeMakontakta kwa ujumlaMkadarasi wa HVACMkandarasiUchoraji na rangi ya makandarasiUjenzi wa nyumbaUjenzi wa Nyumba za KuishiHifadhi ya MaumbileHifadhi ya WanyamaporiMpiga pichaMtoa BurudaniBaa, baa na MikahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateAjenti za Bima ya MpangajiAsubuhi yaAuto bimaBenkiBimaBima ya maishaHuduma ya Maandalizi ya KodiHuduma ya UwekezajiHuduma za KisheriaMaandalizi ya KodiMhasibuMpangaji FedhaMshauri wa KifedhaMwanasheriaNyumbani bima
Inaonyesha 1-50 kati ya 78
Viwanda
Mgawanyo wa biashara kwa sekta katika Windom
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Afya na matibabu | 83 | 30 year |
| Usimamizi wa umma | 41 | 43 year |
| Manunuzi | 27 | 36 year |
| Majengo | 25 | 39 year |
| Mikahawa | 25 | 35 year |
| Dini | 24 | 69 year |
| Uanasheria | 23 | 25 year |
| Ujenzi wa majengo | 23 | 38 year |
| Huduma za kifedha | 21 | — |
| Madaktari wa meno | 20 | 41 year |
| Utengenezaji wa magari | 20 | 36 year |
| Umma mbuga | 18 | — |
| Udhibiti wa shirika | 18 | 18 year |
| Wahasibu | 17 | 32 year |
| Huduma za jamii | 17 | 22 year |
| Waganga na Wafanya upasuaji | 14 | — |
| Uchumi mwingine | 14 | 90 year |
| Asubuhi ya | 13 | — |
| Usafirishaji/usafirishaji wa kibiashara | 12 | 35 year |
| Wanyama wanakowekwa na samaki | 12 | — |
| Matunda na mboga | 12 | — |
| Za saluni | 12 | — |
Ukweli wa Windom
| Area | 4.2 mi² |
| Idadi ya Watu | 4,064 |
| Idadi ya Wanaume | 1,959 (48.2%) |
| Idadi ya Wanawake | 2,105 (51.8%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +69.6% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -15.9% |
| Umri Wastani | Miaka 42.9 (Mwanamume: 40.5, Mwanamke: 45.2) |
| Pato la Taifa kwa kila mtu (PPP) | $28,745 (2022) |
| Simu Kiambishi | 507 |
| Mitaa | Windom, Bingham Lake |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Mchana za Kati |
| Latitudo na Longitudo | 43.86635, -95.11694 |
| Posta | 56101 |
Ramani ya Windom
Ramani inayoingiliana
Idadi ya watu ya Windom
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 2,396 | 3,693 | 4,835 | 4,470 | 4,064 | 4,363 | 4,659 |
| Uzani wa Idadi ya Watu | 570.6 / mi² | 879.5 / mi² | 1,151.5 / mi² | 1,064.6 / mi² | 967.9 / mi² | 1,039.1 / mi² | 1,109.6 / mi² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Windom kutoka 2000 hadi 2020
Kupungua kwa 15.9% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Windom | +69.6% | +10% | -15.9% |
| Minnesota | — | — | — |
| Marekani | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Windom
Umri wa wastani: miaka 42.9
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Windom | 42.9 yrs | 45.2 yrs | 40.5 yrs |
| Minnesota | 38 yrs | 39.1 yrs | 37 yrs |
| Marekani | 37.4 yrs | 38.7 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Windom
Msongamano wa watu: 968 / mi²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Windom | 4,064 | 4.199 sq mi | 968 / mi² |
| Minnesota | 5.5 million | 86,935.3 sq mi | 63 / mi² |
| Marekani | 321.6 million | 3,796,740.8 sq mi | 84.7 / mi² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Windom
Idadi ya watu inayokadiriwa kutoka 1860 hadi 2100
Vyanzo:
- JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Kiunga] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Windom
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.
Chanzo: [Kiunga] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Pato la Taifa (GDP) la Windom
Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| Pato la Taifa kwa kila mtu | $27,624 | $29,674 | $35,049 | $37,176 | $28,908 | $30,717 | $32,715 | $28,745 |
| Jumla ya Pato la Taifa | $128.9M | $146.5M | $178.2M | $186.1M | $141.4M | $150.8M | $167.9M | $151.6M |
Chanzo: [Kiunga] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Utoaji wa CO2 wa Windom
Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka
| Location | Uzalishaji wa CO2 | Uzalishaji wa CO2 kwa Capita | Uzito wa uzalishaji wa CO2 |
|---|---|---|---|
| Windom | 78,236 tn | 19.25 tn | 18,632.6 tons/mi² |
| Minnesota | 113,067,388 tn | 20.66 tn | 1,300.6 tons/mi² |
| Marekani | 5,664,619,810 tn | 17.62 tn | 1,492 tons/mi² |
Vyanzo: [Kiunga] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Utoaji wa CO2 wa Windom
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 78,236 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 19.25 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/mi²/mwaka) | 18,632.6 tons/mi² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Wastani (4) |
| Mafuriko | Wastani (4) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
Vyanzo:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
Kuhusu Takwimu Zetu
Data katika ukurasa huu inakadiriwa kwa kutumia zana na rasilimali kadhaa zinazopatikana hadharani. Inatolewa bila dhamana, na inaweza kuwa na makosa. Tumia kwa hatari yako mwenyewe.