Skip to content
Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Nacip Raydan/MG (2017–2022)

Nacip Raydan/MG had a reference population (aged 5 or over in 2022) of 2,325 people. In the 2017–2022 five-year period, the municipality received 150 in-migrants and lost 130 out-migrants to other municipalities in Brazil, resulting in a net migration of +20 people (9.05 per 1,000 population) and a migration effectiveness index (IEM) of 0.074. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Nacip Raydan/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants15095 to 205use with caution
Out-migrants13061 to 199use with caution
Net migration+20−69 to 109not classified
Net migration rate, TLM (per 1,000 pop.)9.05--
Migration effectiveness index (IEM)0.074--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Nacip Raydan/MG
OriginPeoplePrecision
Governador Valadares/MG · view pair in the atlas25low precision
São José da Safira/MG · view pair in the atlas20low precision
Marilac/MG · view pair in the atlas15low precision
Belo Horizonte/MG · view pair in the atlas10low precision
Top 10 destinations of out-migrants from Nacip Raydan/MG
DestinationPeoplePrecision
Coroaci/MG · view pair in the atlas20low precision
Virgolândia/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration7548.4%20-49
First move from municipality of birth6038.7%20-49
Return to municipality of birth2012.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4547.4%5-19
Completed high school, incomplete higher education2526.3%5-19
Completed higher education2021.1%5-19
Other / suppressed55.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage7046.7%20-49
Up to ¼ of a minimum wage3020.0%5-19
1 to 2 minimum wages2516.7%5-19
½ to 1 minimum wage2013.3%5-19
Other / suppressed53.3%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed5033.3%5-19
Ages 25–39, male3020.0%5-19
Ages 25–39, female2516.7%5-19
Ages 15–24, male1510.0%5-19
Ages 5–14, female1510.0%5-19
Ages 15–24, female1510.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration7053.8%5-19
First move from municipality of birth4534.6%5-19
Other / suppressed1511.5%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4050.0%5-19
Completed high school, incomplete higher education2531.2%5-19
Other / suppressed1518.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages6550.0%5-19
½ to 1 minimum wage3526.9%5-19
¼ to ½ minimum wage2015.4%5-19
Other / suppressed107.7%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed5542.3%5-19
Ages 15–24, female4030.8%5-19
Ages 25–39, male2015.4%5-19
Ages 40–59, male1511.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,01564.0%100-499
Completed high school, incomplete higher education27017.0%50-99
Completed elementary, incomplete high school19012.0%50-99
Completed higher education1106.9%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage82535.9%100-499
½ to 1 minimum wage60526.4%100-499
Up to ¼ of a minimum wage42518.5%100-499
1 to 2 minimum wages36015.7%100-499
More than 2 minimum wages803.5%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male34515.9%100-499
Ages 40–59, female33515.4%100-499
Ages 60 and over, female28513.1%50-99
Ages 60 and over, male24511.3%50-99
Ages 25–39, female2109.7%50-99
Ages 25–39, male1758.0%50-99
Ages 15–24, female1707.8%50-99
Ages 5–14, male1557.1%50-99
Ages 5–14, female1306.0%20-49
Ages 15–24, male1255.7%20-49

Commuting (work and study)

Commuting indicators for Nacip Raydan/MG
Employed persons (aged 10 and over)665
Commute out to work in another municipality35
Commute in from another municipality to work here30
Net commuting−5
Out-commuting rate (%)4.96
Commuting attraction index0.992
Median commuting time25 min

Open Nacip Raydan/MG 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]: Nacip Raydan/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nacip-raydan-mg-3144201/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.