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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Paraúna/GO (2017–2022)

Paraúna/GO had a reference population (aged 5 or over in 2022) of 10,070 people. In the 2017–2022 five-year period, the municipality received 1,000 in-migrants and lost 910 out-migrants to other municipalities in Brazil, resulting in a net migration of +85 people (8.53 per 1,000 population) and a migration effectiveness index (IEM) of 0.045. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Paraúna/GO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,000797 to 1,203good
Out-migrants910635 to 1,185use with caution
Net migration+85−257 to 427not classified
Net migration rate, TLM (per 1,000 pop.)8.53--
Migration effectiveness index (IEM)0.045--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Paraúna/GO
OriginPeoplePrecision
Goiânia/GO · view pair in the atlas105low precision
Acreúna/GO · view pair in the atlas90low precision
Rio Verde/GO · view pair in the atlas80low precision
Jandaia/GO · view pair in the atlas45low precision
Palmeiras de Goiás/GO · view pair in the atlas35low precision
Firminópolis/GO · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Paraúna/GO
DestinationPeoplePrecision
Goiânia/GO · view pair in the atlas195low precision
Rio Verde/GO · view pair in the atlas155low precision
Acreúna/GO · view pair in the atlas125low precision
Jandaia/GO · view pair in the atlas70use with caution
São João da Paraúna/GO · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth45545.7%50-99
Multi-step migration45545.7%50-99
Return to municipality of birth858.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary24535.8%20-49
Completed high school, incomplete higher education16524.1%20-49
Completed higher education15021.9%20-49
Completed elementary, incomplete high school12518.2%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage39039.0%50-99
1 to 2 minimum wages29029.0%50-99
More than 2 minimum wages14514.5%20-49
¼ to ½ minimum wage14014.0%20-49
Up to ¼ of a minimum wage353.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female17517.6%20-49
Ages 25–39, male16516.6%20-49
Ages 40–59, female15015.1%20-49
Ages 40–59, male12012.1%20-49
Ages 15–24, female11011.1%20-49
Ages 15–24, male858.5%5-19
Ages 5–14, female757.5%5-19
Ages 5–14, male454.5%5-19
Ages 60 and over, male404.0%5-19
Ages 60 and over, female303.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth48553.0%50-99
Multi-step migration35538.8%50-99
Return to municipality of birth758.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20032.8%20-49
Completed high school, incomplete higher education16527.0%20-49
Completed higher education14023.0%5-19
Completed elementary, incomplete high school10517.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
More than 2 minimum wages28531.1%20-49
1 to 2 minimum wages27029.5%20-49
½ to 1 minimum wage25527.9%50-99
¼ to ½ minimum wage657.1%5-19
Up to ¼ of a minimum wage353.8%5-19
Other / suppressed50.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male21523.8%20-49
Ages 25–39, female13014.4%5-19
Ages 5–14, male9510.5%20-49
Ages 40–59, female909.9%20-49
Ages 40–59, male859.4%20-49
Ages 15–24, male808.8%5-19
Ages 5–14, female657.2%5-19
Ages 15–24, female606.6%5-19
Ages 60 and over, male556.1%5-19
Ages 60 and over, female303.3%5-19
Other / suppressed00.0%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,36551.8%>=500
Completed high school, incomplete higher education1,49523.0%100-499
Completed elementary, incomplete high school1,01015.6%100-499
Completed higher education6259.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,82539.6%>=500
1 to 2 minimum wages2,67027.7%>=500
More than 2 minimum wages1,39514.4%100-499
¼ to ½ minimum wage1,33513.8%100-499
Up to ¼ of a minimum wage4254.4%50-99
Other / suppressed50.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,50516.6%100-499
Ages 40–59, male1,39015.3%100-499
Ages 25–39, female1,01511.2%100-499
Ages 25–39, male94510.4%100-499
Ages 60 and over, female8259.1%100-499
Ages 60 and over, male8108.9%100-499
Ages 5–14, male6557.2%100-499
Ages 15–24, male6457.1%100-499
Ages 15–24, female6407.1%100-499
Ages 5–14, female6357.0%100-499

Commuting (work and study)

Commuting indicators for Paraúna/GO
Employed persons (aged 10 and over)4,920
Commute out to work in another municipality75
Commute in from another municipality to work here655
Net commuting+580
Out-commuting rate (%)1.51
Commuting attraction index1.086
Median commuting time60 min

Open Paraúna/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]: Paraúna/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/parauna-go-5216403/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.