Industri
Distribusi Bisnis berdasarkan Industri di Jolalpan
| Deskripsi Industri | Jumlah Perusahaan |
|---|---|
| Pendidikan | 13 |
Fakta tentang Jolalpan
| Area | 1.6 km² |
| Populasi | 8.268 |
| Populasi Pria | 3.826 (46.3%) |
| Populasi Wanita | 4.442 (53.7%) |
| Perubahan populasi (1975 to 2020) | +129.3% |
| Perubahan populasi (2000 to 2020) | +27.5% |
| Usia Rata-rata | 24.2 tahun (Pria: 23.6, Wanita: 24.7) |
| PDB per kapita (PPP) | $10.663 (2022) |
| Sekitarnya | Xochitepec |
| Waktu Setempat | |
| Zona Waktu | Waktu Standar Tengah |
| Grs Lintang & Grs Bujur | 18.32779, -98.84566 |
| Kode Pos | 74710, 74714, 74716 |
Peta Jolalpan
Peta Interaktif
Populasi Jolalpan
Tahun 1975 hingga 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Populasi | 3.605 | 5.349 | 6.487 | 7.699 | 8.268 | 8.424 | 8.572 |
| Kepadatan penduduk | 2.218,5 / km² | 3.291,7 / km² | 3.992 / km² | 4.737,8 / km² | 5.088 / km² | 5.184 / km² | 5.275,1 / km² |
* Diproyeksikan
Sumber: JRC (European Commission's Joint Research Centre) bekerja pada GHS built-up gridPerubahan populasi Jolalpan dari 2000 hingga 2020
Peningkatan sebesar 27.5% dari tahun 2000 hingga 2020
| Lokasi | Perubahan sejak 1975 | Perubahan sejak 1990 | Perubahan sejak 2000 |
|---|---|---|---|
| Jolalpan | +129.3% | +54.6% | +27.5% |
| Puebla (negara bagian) | — | — | — |
| Meksiko | — | — | — |
Sumber: JRC (European Commission's Joint Research Centre) bekerja pada GHS built-up grid
Usia Median Jolalpan
Usia Median: 24.2 tahun
| Lokasi | Usia Rata-rata | Usia Median (Wanita) | Usia rata-rata (Pria) |
|---|---|---|---|
| Jolalpan | 24.2 yrs | 24.7 yrs | 23.6 yrs |
| Puebla (negara bagian) | 24.5 yrs | 25.6 yrs | 23.3 yrs |
| Meksiko | 26.2 yrs | 27 yrs | 25.3 yrs |
Sumber: CIESIN (Center for International Earth Science Information Network)
Kepadatan Penduduk Jolalpan
Kepadatan Penduduk: 5.088 / km²
| Lokasi | Populasi | Area | Kepadatan |
|---|---|---|---|
| Jolalpan | 8.268 | 1,625 km² | 5.088 / km² |
| Puebla (negara bagian) | 6,4 million | 34.309,1 km² | 187 / km² |
| Meksiko | 126,8 million | 1.965.208 km² | 64,5 / km² |
Sumber: JRC (European Commission's Joint Research Centre) bekerja pada GHS built-up grid
Populasi Historis dan Proyeksi Jolalpan
Perkiraan Populasi dari 0 hingga 2100
Sumber:
- 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.
Indeks Pembangunan Manusia (IPM)
Indeks komposit statistik dari harapan hidup, pendidikan, dan pendapatan per kapita.
Sumber: [Link] Kummu, M., Taka, M. &Guillaume, J. Kumpulan data global berbasis grid untuk Produk Domestik Bruto dan Indeks Pembangunan Manusia selama 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Produk Domestik Bruto (PDB) Jolalpan
PDB per kapita, PPP ($ internasional konstan 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| PDB per kapita | $8.538 | $7.492 | $9.565 | $9.352 | $8.992 | $10.567 | $9.888 | $10.663 |
| Total PDB | $72,5 jt | $68,8 jt | $92,7 jt | $98,4 jt | $99,4 jt | $122,9 jt | $128,6 jt | $139,6 jt |
Sumber: [Link] 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
Emisi CO2 Jolalpan
Emisi Karbon Dioksida (CO2) Per Kapita dalam Ton Per Tahun
| Lokasi | Emisi CO2 | Emisi CO2 Per Kapita | Intensitas Emisi CO2 |
|---|---|---|---|
| Jolalpan | 31,468 tn | 3.81 tn | 19,365.1 tons/km² |
| Puebla (negara bagian) | 22,860,098 tn | 3.57 tn | 666.3 tons/km² |
| Meksiko | 496,865,013 tn | 3.92 tn | 252.8 tons/km² |
Sumber: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Jejak karbon dari 13.000 kota. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Emisi CO2 Jolalpan
| Emisi CO2 tahun 2013 (ton/tahun) | 31,468 tn |
| Emisi CO2 tahun 2013 (ton/tahun) per kapita | 3.81 tn |
| Intensitas emisi CO2 tahun 2013 (ton/km²/tahun) | 19,365.1 tons/km² |
Risiko Bencana Alam
Risiko relatif dari 10
| Bahaya | Tingkat Risiko |
|---|---|
| Kekeringan | Sedang (4) |
| Banjir | Tinggi (8) |
| Gempa bumi | Sedang (6.3) |
| Topan | Sedang (5) |
| Tanah longsor | Sedang (6) |
* Risiko, terutama yang menyangkut banjir atau tanah longsor, mungkin tidak untuk seluruh area.
Sumber:
- 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 |
|---|---|---|---|---|---|---|
| 9/19/17 | 6:14 PM | 7.1 | 45 km | 48,000 m | 1km E of Ayutla, Mexico | usgs.gov |
| 9/22/16 | 6:08 PM | 4.6 | 56.5 km | 55,530 m | 7km WNW of Xochihuehuetlan, Mexico | usgs.gov |
| 8/28/15 | 1:56 AM | 4 | 68.1 km | 51,700 m | 17km S of Tepecoacuilco de Trujano, Mexico | usgs.gov |
| 3/20/15 | 10:30 PM | 5.4 | 48 km | 52,000 m | 8km WSW of Tulcingo del Valle, Mexico | usgs.gov |
| 12/24/14 | 10:53 PM | 4.1 | 48.9 km | 57,400 m | 5km SSW of Copalillo, Mexico | usgs.gov |
| 6/29/13 | 9:19 PM | 4.5 | 49.8 km | 55,100 m | 14km NNW of Copalillo, Mexico | usgs.gov |
| 6/21/13 | 9:41 AM | 4 | 24.8 km | 2,000 m | Morelos, Mexico | usgs.gov |
| 6/16/13 | 5:19 AM | 5.8 | 42.4 km | 52,000 m | 15km NW of Copalillo, Mexico | usgs.gov |
| 2/23/13 | 11:44 AM | 4.1 | 58.1 km | 38,000 m | 14km S of Huitzuco de los Figueroa, Mexico | usgs.gov |
| 9/7/10 | 10:44 PM | 4.5 | 39.3 km | 51,200 m | Puebla, Mexico | usgs.gov |
Sumber: U.S. Geological Survey (USGS)
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.