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

Migration in Nova União/RO (2017–2022)

Nova União/RO had a reference population (aged 5 or over in 2022) of 5,810 people. In the 2017–2022 five-year period, the municipality received 690 in-migrants and lost 760 out-migrants to other municipalities in Brazil, resulting in a net migration of −75 people (−12.76 per 1,000 population) and a migration effectiveness index (IEM) of −0.051. This classifies the municipality, for the period, as one of migratory depletion. In addition, 20 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for Nova União/RO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants690554 to 826good
Out-migrants760531 to 989use with caution
Net migration−75−342 to 192not classified
Net migration rate, TLM (per 1,000 pop.)−12.76--
Migration effectiveness index (IEM)−0.051--

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 Nova União/RO
OriginPeoplePrecision
Ouro Preto do Oeste/RO · view pair in the atlas105use with caution
Mirante da Serra/RO · view pair in the atlas75use with caution
Porto Velho/RO · view pair in the atlas55low precision
Urupá/RO · view pair in the atlas55low precision
Ji-Paraná/RO · view pair in the atlas50low precision
Jaru/RO · view pair in the atlas35low precision
Ariquemes/RO · view pair in the atlas30low precision
Cujubim/RO · view pair in the atlas25low precision
Monte Negro/RO · view pair in the atlas25low precision
Buritis/RO · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Nova União/RO
DestinationPeoplePrecision
Jaru/RO · view pair in the atlas150low precision
Ouro Preto do Oeste/RO · view pair in the atlas145low precision
Mirante da Serra/RO · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration48570.3%100-499
First move from municipality of birth19528.3%50-99
Other / suppressed101.4%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary24055.2%50-99
Completed high school, incomplete higher education10524.1%20-49
Completed elementary, incomplete high school5512.6%5-19
Completed higher education358.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage23033.6%50-99
Up to ¼ of a minimum wage17525.5%50-99
¼ to ½ minimum wage16023.4%20-49
1 to 2 minimum wages8512.4%20-49
More than 2 minimum wages355.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female9513.9%20-49
Ages 25–39, male9013.1%20-49
Ages 15–24, female9013.1%20-49
Ages 40–59, male8512.4%20-49
Ages 25–39, female8011.7%20-49
Ages 5–14, female7510.9%20-49
Ages 5–14, male456.6%5-19
Ages 60 and over, female456.6%5-19
Ages 15–24, male456.6%5-19
Ages 60 and over, male355.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration55072.4%50-99
First move from municipality of birth14519.1%20-49
Return to municipality of birth658.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary19041.8%20-49
Completed high school, incomplete higher education11024.2%5-19
Completed higher education8017.6%5-19
Completed elementary, incomplete high school7516.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages29538.6%20-49
¼ to ½ minimum wage15520.3%20-49
½ to 1 minimum wage15019.6%5-19
Up to ¼ of a minimum wage9011.8%5-19
More than 2 minimum wages759.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male17523.0%5-19
Ages 15–24, male11014.5%5-19
Ages 15–24, female10513.8%5-19
Ages 25–39, female10513.8%5-19
Ages 40–59, female8511.2%5-19
Ages 40–59, male658.6%5-19
Ages 5–14, female607.9%5-19
Ages 5–14, male354.6%5-19
Other / suppressed202.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,21061.8%>=500
Completed high school, incomplete higher education67518.9%100-499
Completed elementary, incomplete high school43012.0%100-499
Completed higher education2607.3%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,94535.5%>=500
¼ to ½ minimum wage1,46526.8%100-499
Up to ¼ of a minimum wage1,01018.4%100-499
1 to 2 minimum wages76013.9%100-499
More than 2 minimum wages2955.4%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male79015.6%100-499
Ages 40–59, female78515.5%100-499
Ages 25–39, male57511.3%100-499
Ages 25–39, female57011.2%100-499
Ages 60 and over, male4659.2%100-499
Ages 15–24, male4358.6%100-499
Ages 60 and over, female3957.8%100-499
Ages 5–14, male3807.5%100-499
Ages 5–14, female3657.2%50-99
Ages 15–24, female3206.3%50-99

Commuting (work and study)

Commuting indicators for Nova União/RO
Employed persons (aged 10 and over)2,220
Commute out to work in another municipality70
Commute in from another municipality to work here115
Net commuting+40
Out-commuting rate (%)3.23
Commuting attraction index1.013
Median commuting time30 min

Open Nova União/RO 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]: Nova União/RO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-uniao-ro-1101435/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.