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

Migration in Rialma/GO (2017–2022)

Rialma/GO had a reference population (aged 5 or over in 2022) of 11,410 people. In the 2017–2022 five-year period, the municipality received 1,050 in-migrants and lost 570 out-migrants to other municipalities in Brazil, resulting in a net migration of +480 people (42.03 per 1,000 population) and a migration effectiveness index (IEM) of 0.295. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Rialma/GO, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,050827 to 1,273good
Out-migrants570378 to 762use with caution
Net migration+480186 to 774not classified
Net migration rate, TLM (per 1,000 pop.)42.03--
Migration effectiveness index (IEM)0.295--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Rialma/GO
OriginPeoplePrecision
Ceres/GO · view pair in the atlas300use with caution
Goiânia/GO · view pair in the atlas140use with caution
Anápolis/GO · view pair in the atlas70low precision
Rianápolis/GO · view pair in the atlas65low precision
Mara Rosa/GO · view pair in the atlas45low precision
Brasília/DF · view pair in the atlas45low precision
Uruaçu/GO · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Rialma/GO
DestinationPeoplePrecision
Ceres/GO · view pair in the atlas60low precision
Carmo do Rio Verde/GO · view pair in the atlas50low precision
Nova Glória/GO · view pair in the atlas40low precision
Santa Isabel/GO · view pair in the atlas25low precision
Rianápolis/GO · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration51549.0%50-99
First move from municipality of birth44542.4%50-99
Return to municipality of birth908.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education29042.3%50-99
Completed higher education16023.4%20-49
No schooling or incomplete elementary15021.9%20-49
Completed elementary, incomplete high school8512.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage31529.9%50-99
1 to 2 minimum wages28527.0%50-99
¼ to ½ minimum wage24523.2%20-49
More than 2 minimum wages18017.1%20-49
Up to ¼ of a minimum wage201.9%5-19
Other / suppressed100.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female20519.6%20-49
Ages 25–39, male19518.7%20-49
Ages 15–24, male11010.5%20-49
Ages 40–59, female11010.5%20-49
Ages 40–59, male10510.0%5-19
Ages 15–24, female1009.6%20-49
Ages 5–14, female757.2%5-19
Ages 5–14, male757.2%5-19
Ages 60 and over, female454.3%5-19
Ages 60 and over, male252.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration36563.5%50-99
First move from municipality of birth12521.7%5-19
Return to municipality of birth8514.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14536.2%20-49
Completed high school, incomplete higher education14035.0%20-49
Completed higher education6516.2%5-19
Completed elementary, incomplete high school5012.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21538.1%20-49
1 to 2 minimum wages14525.7%5-19
More than 2 minimum wages7513.3%5-19
¼ to ½ minimum wage7012.4%5-19
Up to ¼ of a minimum wage559.7%5-19
Other / suppressed50.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male11520.2%5-19
Ages 40–59, female9516.7%5-19
Ages 40–59, male7513.2%5-19
Ages 25–39, female7513.2%5-19
Ages 5–14, female7513.2%5-19
Other / suppressed7012.3%5-19
Ages 15–24, female407.0%5-19
Ages 60 and over, female254.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,83537.5%>=500
Completed high school, incomplete higher education2,35531.2%100-499
Completed higher education1,26016.7%100-499
Completed elementary, incomplete high school1,11014.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,00536.0%>=500
1 to 2 minimum wages2,98026.8%>=500
¼ to ½ minimum wage1,99518.0%100-499
More than 2 minimum wages1,47013.2%100-499
Up to ¼ of a minimum wage5855.3%100-499
Not applicable (collective dwelling)750.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,72516.7%100-499
Ages 40–59, male1,56515.1%100-499
Ages 25–39, male1,18511.4%100-499
Ages 25–39, female1,14011.0%100-499
Ages 60 and over, female1,05510.2%100-499
Ages 60 and over, male8958.6%100-499
Ages 15–24, male7607.3%100-499
Ages 15–24, female7106.9%100-499
Ages 5–14, male6806.6%100-499
Ages 5–14, female6406.2%100-499

Commuting (work and study)

Commuting indicators for Rialma/GO
Employed persons (aged 10 and over)5,950
Commute out to work in another municipality1,230
Commute in from another municipality to work here640
Net commuting−590
Out-commuting rate (%)20.67
Commuting attraction index0.864
Median commuting time15 min

Open Rialma/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]: Rialma/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rialma-go-5218607/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.