Migration in Davinópolis/GO (2017–2022)
Davinópolis/GO had a reference population (aged 5 or over in 2022) of 1,810 people. In the 2017–2022 five-year period, the municipality received 275 in-migrants and lost 125 out-migrants to other municipalities in Brazil, resulting in a net migration of +150 people (83.28 per 1,000 population) and a migration effectiveness index (IEM) of 0.374. This classifies the municipality, for the period, as one of migratory attraction.
Indicators
Migration indicators for Davinópolis/GO, 2017–2022
| Indicator | Estimate | 95% CI | Precision |
|---|
| In-migrants | 275 | 191 to 359 | use with caution |
|---|
| Out-migrants | 125 | 37 to 213 | low precision |
|---|
| Net migration | +150 | 29 to 271 | not classified |
|---|
| Net migration rate, TLM (per 1,000 pop.) | 83.28 | - | - |
|---|
| Migration effectiveness index (IEM) | 0.374 | - | - |
|---|
Sample of in-migrants: 100-499 observations. Sample of out-migrants: 5-19 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.
Top origins and destinations
Profile of migrants and residents
In-migrants (arrivals)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| First move from municipality of birth | 145 | 52.7% | 50-99 |
|---|
| Multi-step migration | 105 | 38.2% | 20-49 |
|---|
| Return to municipality of birth | 25 | 9.1% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 70 | 48.3% | 20-49 |
|---|
| Completed high school, incomplete higher education | 35 | 24.1% | 5-19 |
|---|
| Completed elementary, incomplete high school | 25 | 17.2% | 5-19 |
|---|
| Completed higher education | 15 | 10.3% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ¼ to ½ minimum wage | 90 | 32.7% | 20-49 |
|---|
| ½ to 1 minimum wage | 85 | 30.9% | 20-49 |
|---|
| 1 to 2 minimum wages | 50 | 18.2% | 20-49 |
|---|
| Up to ¼ of a minimum wage | 35 | 12.7% | 5-19 |
|---|
| More than 2 minimum wages | 10 | 3.6% | 5-19 |
|---|
| Other / suppressed | 5 | 1.8% | <5 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 5–14, male | 50 | 17.5% | 5-19 |
|---|
| Ages 25–39, female | 45 | 15.8% | 20-49 |
|---|
| Ages 5–14, female | 40 | 14.0% | 5-19 |
|---|
| Ages 25–39, male | 30 | 10.5% | 5-19 |
|---|
| Ages 40–59, female | 25 | 8.8% | 5-19 |
|---|
| Ages 15–24, female | 25 | 8.8% | 5-19 |
|---|
| Ages 15–24, male | 20 | 7.0% | 5-19 |
|---|
| Ages 60 and over, male | 20 | 7.0% | 5-19 |
|---|
| Ages 40–59, male | 15 | 5.3% | 5-19 |
|---|
| Ages 60 and over, female | 15 | 5.3% | 5-19 |
|---|
Out-migrants (departures)
Migrant type
| Category | Estimate | Share | Sample |
|---|
| Multi-step migration | 85 | 68.0% | 5-19 |
|---|
| Other / suppressed | 40 | 32.0% | 5-19 |
|---|
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 80 | 100.0% | 5-19 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 60 | 48.0% | 5-19 |
|---|
| 1 to 2 minimum wages | 55 | 44.0% | 5-19 |
|---|
| Other / suppressed | 10 | 8.0% | <5 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Other / suppressed | 125 | 100.0% | 5-19 |
|---|
Non-migrant residents
Educational attainment (people aged 25 and over)
| Category | Estimate | Share | Sample |
|---|
| No schooling or incomplete elementary | 565 | 47.3% | 100-499 |
|---|
| Completed high school, incomplete higher education | 325 | 27.2% | 100-499 |
|---|
| Completed elementary, incomplete high school | 170 | 14.2% | 50-99 |
|---|
| Completed higher education | 135 | 11.3% | 50-99 |
|---|
Household income per capita (in 2022 minimum wages)
| Category | Estimate | Share | Sample |
|---|
| ½ to 1 minimum wage | 620 | 38.3% | 100-499 |
|---|
| 1 to 2 minimum wages | 465 | 28.7% | 100-499 |
|---|
| ¼ to ½ minimum wage | 260 | 16.0% | 100-499 |
|---|
| Up to ¼ of a minimum wage | 160 | 9.9% | 50-99 |
|---|
| More than 2 minimum wages | 115 | 7.1% | 50-99 |
|---|
Age and sex
| Category | Estimate | Share | Sample |
|---|
| Ages 40–59, female | 260 | 17.0% | 100-499 |
|---|
| Ages 40–59, male | 260 | 17.0% | 100-499 |
|---|
| Ages 60 and over, female | 195 | 12.7% | 50-99 |
|---|
| Ages 60 and over, male | 195 | 12.7% | 50-99 |
|---|
| Ages 25–39, male | 145 | 9.5% | 50-99 |
|---|
| Ages 25–39, female | 140 | 9.2% | 50-99 |
|---|
| Ages 15–24, female | 90 | 5.9% | 20-49 |
|---|
| Ages 15–24, male | 90 | 5.9% | 50-99 |
|---|
| Ages 5–14, female | 80 | 5.2% | 20-49 |
|---|
| Ages 5–14, male | 75 | 4.9% | 20-49 |
|---|
Commuting (work and study)
Commuting indicators for Davinópolis/GO
| Employed persons (aged 10 and over) | 850 |
|---|
| Commute out to work in another municipality | 80 |
|---|
| Commute in from another municipality to work here | 50 |
|---|
| Net commuting | −30 |
|---|
| Out-commuting rate (%) | 9.46 |
|---|
| Commuting attraction index | 0.955 |
|---|
| Median commuting time | 60 min |
|---|
Open Davinópolis/GO in the interactive atlas →
Methodological note
Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.
How to cite this page
Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Davinópolis/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/davinopolis-go-5206909/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.