Industries
Business Distribution by Industry in Quebrangulo
| Industry Description | Number of Establishments |
|---|---|
| Education | 35 |
| Grocery stores and supermarkets | 10 |
| Public administration | 9 |
| Bars, pubs and taverns | 8 |
| Clothing stores | 7 |
| Shopping | 6 |
| Religion | 6 |
| Churches | 5 |
| Public parks | 5 |
Quebrangulo Facts
| Area | 2.8 km² |
| Population | 4,336 |
| Male Population | 2,074 (47.8%) |
| Female Population | 2,262 (52.2%) |
| Population change (1975 to 2020) | -27.2% |
| Population change (2000 to 2020) | -37.6% |
| Median Age | 26.3 years (Male: 24.9, Female: 27.6) |
| GDP per capita (PPP) | $7,244 (2022) |
| Neighborhoods | Centro |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -9.31889, -36.47111 |
| Postal Codes | 57750 |
Map of Quebrangulo
Interactive Map
Quebrangulo Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 5,953 | 6,838 | 6,948 | 6,505 | 4,336 | 4,366 | 4,443 |
| Population Density | 2,164.7 / km² | 2,486.5 / km² | 2,526.5 / km² | 2,365.5 / km² | 1,576.7 / km² | 1,587.6 / km² | 1,615.6 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridQuebrangulo Population change from 2000 to 2020
Decrease of 37.6% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Quebrangulo | -27.2% | -36.6% | -37.6% |
| Alagoas | — | — | — |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Quebrangulo Median Age
Median Age: 26.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Quebrangulo | 26.3 yrs | 27.6 yrs | 24.9 yrs |
| Alagoas | 25.9 yrs | 26.8 yrs | 24.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Quebrangulo Population Density
Population Density: 1,577 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Quebrangulo | 4,336 | 2.75 km² | 1,577 / km² |
| Alagoas | 3.3 million | 27,778.5 km² | 120 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Quebrangulo Historical and Projected Population
Estimated Population from 0 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the 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.
Area Codes
Percentage Area Codes used by businesses in Quebrangulo
Price Distribution
Business distribution by price for Quebrangulo
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] 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
Quebrangulo Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $4,129 | $4,845 | $5,878 | $6,447 | $6,142 | $5,135 | $6,990 | $7,244 |
| Total GDP | $17M | $20.5M | $24.5M | $26.9M | $25.2M | $21M | $30.5M | $31.9M |
Source: [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
Quebrangulo CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Quebrangulo | 9,286 tn | 2.14 tn | 3,376.6 tons/km² |
| Alagoas | 7,385,329 tn | 2.21 tn | 265.9 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 tons/km² |
Sources: [Link] 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
Quebrangulo CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 9,286 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.14 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 3,376.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (7) |
| Flood | Medium (4) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- 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.
Quebrangulo
Quebrangulo is a municipality located in the Brazilian state of Alagoas. Its population was 12,215 (2005) and its area is 300 km².
Quebrangulo Wikipedia Page
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.