Kategori di Sātkania
Industri
Distribusi Bisnis berdasarkan Industri di Sātkania
| Deskripsi Industri | Jumlah Perusahaan |
|---|---|
| Belanja | 78 |
| Mesjid | 39 |
| Toko elektronik | 35 |
| Pendidikan | 34 |
| Apartmen | 34 |
| Restoran | 34 |
| Toko bahan makanan dan supermarket | 32 |
| Farmasi dan toko obat | 29 |
| Perjalanan dan transportasi | 21 |
| Keanggotaan Organisasi Lainnya | 19 |
Fakta tentang Sātkania
| Area | 230.6 km² |
| Populasi | 381.329 |
| Populasi Pria | 184.804 (48.5%) |
| Populasi Wanita | 196.525 (51.5%) |
| Perubahan populasi (1975 to 2020) | +144.8% |
| Perubahan populasi (2000 to 2020) | +27.9% |
| Usia Rata-rata | 19.3 tahun (Pria: 18.4, Wanita: 20.2) |
| PDB per kapita (PPP) | $8.097 (2022) |
| Kode Area | 3036 |
| Sekitarnya | Kerani Haat |
| Waktu Setempat | |
| Zona Waktu | Waktu Standar Bangladesh |
| Grs Lintang & Grs Bujur | 22.07639, 92.04955 |
| Kode Pos | 4386 |
Peta Sātkania
Peta Interaktif
Populasi Sātkania
Tahun 1975 hingga 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Populasi | 155.782 | 239.672 | 298.074 | 363.216 | 381.329 | 396.970 | 408.471 |
| Kepadatan penduduk | 675,7 / km² | 1.039,5 / km² | 1.292,8 / km² | 1.575,3 / km² | 1.653,9 / km² | 1.721,7 / km² | 1.771,6 / km² |
Perubahan populasi Sātkania dari 2000 hingga 2020
Peningkatan sebesar 27.9% dari tahun 2000 hingga 2020
| Lokasi | Perubahan sejak 1975 | Perubahan sejak 1990 | Perubahan sejak 2000 |
|---|---|---|---|
| Sātkania | +144.8% | +59.1% | +27.9% |
| Divisi Chittagong | — | — | — |
| Bangladesh | — | — | — |
Usia Median Sātkania
Usia Median: 19.3 tahun
| Lokasi | Usia Rata-rata | Usia Median (Wanita) | Usia rata-rata (Pria) |
|---|---|---|---|
| Sātkania | 19.3 yrs | 20.2 yrs | 18.4 yrs |
| Divisi Chittagong | 20.7 yrs | 21.3 yrs | 19.9 yrs |
| Bangladesh | 23.2 yrs | 23.3 yrs | 23.1 yrs |
Kepadatan Penduduk Sātkania
Kepadatan Penduduk: 1.654 / km²
| Lokasi | Populasi | Area | Kepadatan |
|---|---|---|---|
| Sātkania | 381.329 | 230,6 km² | 1.654 / km² |
| Divisi Chittagong | 31,6 million | 31.298,4 km² | 1.010 / km² |
| Bangladesh | 160,5 million | 139.726,1 km² | 1.149 / km² |
Populasi Historis dan Proyeksi Sātkania
Perkiraan Populasi dari 300 hingga 2100
- JRC (European Commission's Joint Research Centre) bekerja pada GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] 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.
Kode Area
Persentase Kode Area yang digunakan oleh bisnis dalam Sātkania
Indeks Pembangunan Manusia (IPM)
Indeks komposit statistik dari harapan hidup, pendidikan, dan pendapatan per kapita.
Produk Domestik Bruto (PDB) Sātkania
PDB per kapita, PPP ($ internasional konstan 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| PDB per kapita | $2.735 | $2.802 | $3.190 | $3.578 | $4.180 | $5.541 | $7.287 | $8.097 |
| Total PDB | $462,6 jt | $508,8 jt | $621,9 jt | $753,5 jt | $915,4 jt | $1,3 M | $1,8 M | $2 M |
Emisi CO2 Sātkania
Emisi Karbon Dioksida (CO2) Per Kapita dalam Ton Per Tahun
| Lokasi | Emisi CO2 | Emisi CO2 Per Kapita | Intensitas Emisi CO2 |
|---|---|---|---|
| Sātkania | 253,783 tn | 0.67 tn | 1,100.7 tons/km² |
| Divisi Chittagong | 16,668,555 tn | 0.53 tn | 532.6 tons/km² |
| Bangladesh | 86,978,104 tn | 0.54 tn | 622.5 tons/km² |
| Emisi CO2 tahun 2013 (ton/tahun) | 253,783 tn |
| Emisi CO2 tahun 2013 (ton/tahun) per kapita | 0.67 tn |
| Intensitas emisi CO2 tahun 2013 (ton/km²/tahun) | 1,100.7 tons/km² |
Risiko Bencana Alam
Risiko relatif dari 10
| Bahaya | Tingkat Risiko |
|---|---|
| Kekeringan | Sedang (7) |
| Banjir | Tinggi (10) |
| Gempa bumi | Tinggi (7.6) |
| Topan | Sedang (5) |
| Tanah longsor | Sedang (6) |
* Risiko, terutama yang menyangkut banjir atau tanah longsor, mungkin tidak untuk seluruh area.
- 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 Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
- 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.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Gempa Bumi Terdekat Terdekat
Magnitude 3.0 dan lebih tinggi
| Tanggal▼ | Waktu↕ | Magnitude↕ | Distance↕ | Kedalaman↕ | Lokasi↕ | Link |
|---|---|---|---|---|---|---|
| 2/17/19 | 2:58 AM | 4.8 | 90.3 km | 10,000 m | 14km WSW of Saiha, India | usgs.gov |
| 3/30/18 | 10:33 PM | 4.1 | 78.4 km | 32,090 m | 39km SSW of Saiha, India | usgs.gov |
| 6/27/16 | 12:27 AM | 4.7 | 70 km | 10,000 m | 24km NE of Raojan, Bangladesh | usgs.gov |
| 1/15/15 | 1:33 AM | 4.3 | 83.8 km | 50,370 m | 31km SSW of Lunglei, India | usgs.gov |
| 1/20/14 | 1:18 PM | 4.1 | 68.6 km | 32,080 m | 47km SSW of Saiha, India | usgs.gov |
| 12/13/12 | 10:05 AM | 4.2 | 58.2 km | 10,000 m | India-Bangladesh border region | usgs.gov |
| 12/13/09 | 2:41 PM | 4.9 | 25 km | 10,000 m | near the coast of Bangladesh | usgs.gov |
| 12/13/09 | 2:24 PM | 4.6 | 26.1 km | 17,300 m | near the coast of Bangladesh | usgs.gov |
| 8/22/08 | 6:06 PM | 4.7 | 64.9 km | 46,700 m | India-Bangladesh border region | usgs.gov |
| 4/8/08 | 7:10 PM | 4.2 | 85.9 km | 39,500 m | India-Bangladesh border region | usgs.gov |
Tentang Data Kami
Data di halaman ini diperkirakan menggunakan sejumlah alat dan sumber daya yang tersedia untuk umum. Data ini disediakan tanpa jaminan dan mungkin mengandung ketidakakuratan. Gunakan dengan risiko Anda sendiri.


