Viwanda
Mgawanyo wa biashara kwa sekta katika Cacimbas
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Elimu | 26 |
| Usimamizi wa umma | 6 |
| Makanisa | 6 |
| Mashirika yote ya uanachama | 6 |
| Maduka ya vyakula na makubwa | 5 |
| Baa, baa na Mikahawa | 5 |
| Mikahawa | 5 |
Ukweli wa Cacimbas
| Area | 0.4 km² |
| Idadi ya Watu | 662 |
| Idadi ya Wanaume | 310 (46.8%) |
| Idadi ya Wanawake | 352 (53.2%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | -54.3% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -62.0% |
| Umri Wastani | Miaka 24.5 (Mwanamume: 22, Mwanamke: 26.7) |
| Mitaa | Centro |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Brasilia |
| Latitudo na Longitudo | -7.21111, -37.05750 |
| Posta | 58698 |
Ramani ya Cacimbas
Ramani inayoingiliana
Idadi ya watu ya Cacimbas
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 1,447 | 1,693 | 1,741 | 1,659 | 662 | 669 | 692 |
| Uzani wa Idadi ya Watu | 3,307.4 / km² | 3,869.7 / km² | 3,979.4 / km² | 3,792 / km² | 1,513.1 / km² | 1,529.1 / km² | 1,581.7 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Cacimbas kutoka 2000 hadi 2020
Kupungua kwa 62% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Cacimbas | -54.3% | -60.9% | -62% |
| Paraíba | — | — | — |
| Brazil | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Cacimbas
Umri wa wastani: miaka 24.5
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Cacimbas | 24.5 yrs | 26.7 yrs | 22 yrs |
| Paraíba | 28.5 yrs | 29.6 yrs | 27.4 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Cacimbas
Msongamano wa watu: 1,513 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Cacimbas | 662 | 0.438 km² | 1,513 / km² |
| Paraíba | 4 million | 56,469.8 km² | 71.2 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Cacimbas
Idadi ya watu inayokadiriwa kutoka 0 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 Cacimbas
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
Utoaji wa CO2 wa Cacimbas
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 |
|---|---|---|---|
| Cacimbas | 1,345 tn | 2.03 tn | 3,074.7 tons/km² |
| Paraíba | 9,236,133 tn | 2.3 tn | 163.6 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 tons/km² |
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 Cacimbas
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 1,345 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.03 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 3,074.7 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Ukame | Juu (9) |
| Mtetemeko wa ardhi | Chini (2) |
* 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 Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
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.