Migration in Aurora do Tocantins/TO (2017–2022)

Aurora do Tocantins/TO had a reference population (aged 5 or over in 2022) of 3,155 people. In the 2017–2022 five-year period, the municipality received 380 in-migrants and lost 280 out-migrants to other municipalities in Brazil, resulting in a net migration of +95 people (30.46 per 1,000 population) and a migration effectiveness index (IEM) of 0.146. 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 Aurora do Tocantins/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	380	288 to 472	good
Out-migrants	280	162 to 398	use with caution
Net migration	+95	−54 to 244	not classified
Net migration rate, TLM (per 1,000 pop.)	30.46	-	-
Migration effectiveness index (IEM)	0.146	-	-

Sample of in-migrants: 100-499 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 Aurora do Tocantins/TO
Origin	People	Precision
Brasília/DF · view pair in the atlas	90	use with caution
Goiânia/GO · view pair in the atlas	65	low precision
Aparecida de Goiânia/GO · view pair in the atlas	35	low precision
Taguatinga/TO · view pair in the atlas	25	low precision
Dianópolis/TO · view pair in the atlas	20	low precision
Campos Belos/GO · view pair in the atlas	20	low precision
Combinado/TO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Aurora do Tocantins/TO
Destination	People	Precision
Taguatinga/TO · view pair in the atlas	90	low precision
Combinado/TO · view pair in the atlas	25	low precision
Lavandeira/TO · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	130	34.7%	20-49
Return to municipality of birth	130	34.7%	20-49
Multi-step migration	115	30.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	90	36.7%	20-49
No schooling or incomplete elementary	85	34.7%	20-49
Completed higher education	35	14.3%	5-19
Completed elementary, incomplete high school	35	14.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	135	35.5%	20-49
½ to 1 minimum wage	95	25.0%	20-49
1 to 2 minimum wages	60	15.8%	5-19
More than 2 minimum wages	45	11.8%	5-19
Up to ¼ of a minimum wage	45	11.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	50	13.3%	5-19
Ages 25–39, female	50	13.3%	5-19
Ages 25–39, male	50	13.3%	5-19
Ages 40–59, female	45	12.0%	5-19
Ages 15–24, male	35	9.3%	5-19
Ages 15–24, female	35	9.3%	5-19
Ages 60 and over, male	30	8.0%	5-19
Ages 5–14, female	30	8.0%	5-19
Ages 5–14, male	30	8.0%	5-19
Ages 60 and over, female	20	5.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	125	44.6%	20-49
First move from municipality of birth	115	41.1%	20-49
Return to municipality of birth	40	14.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	50	34.5%	5-19
Completed high school, incomplete higher education	40	27.6%	5-19
Other / suppressed	30	20.7%	<5
Completed elementary, incomplete high school	25	17.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	38.6%	20-49
¼ to ½ minimum wage	60	21.1%	5-19
1 to 2 minimum wages	50	17.5%	5-19
More than 2 minimum wages	45	15.8%	5-19
Other / suppressed	20	7.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	65	23.2%	5-19
Ages 15–24, male	55	19.6%	5-19
Ages 25–39, female	55	19.6%	5-19
Other / suppressed	30	10.7%	5-19
Ages 40–59, male	30	10.7%	5-19
Ages 25–39, male	30	10.7%	5-19
Ages 60 and over, male	15	5.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,005	50.8%	100-499
Completed high school, incomplete higher education	490	24.7%	100-499
Completed elementary, incomplete high school	260	13.1%	50-99
Completed higher education	225	11.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,025	34.7%	100-499
¼ to ½ minimum wage	795	26.9%	100-499
Up to ¼ of a minimum wage	610	20.7%	100-499
1 to 2 minimum wages	375	12.7%	100-499
More than 2 minimum wages	145	4.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	470	17.0%	100-499
Ages 40–59, male	430	15.5%	100-499
Ages 25–39, male	285	10.3%	50-99
Ages 60 and over, male	280	10.1%	50-99
Ages 60 and over, female	260	9.4%	50-99
Ages 25–39, female	250	9.0%	50-99
Ages 15–24, male	215	7.8%	50-99
Ages 5–14, male	200	7.2%	50-99
Ages 5–14, female	195	7.0%	50-99
Ages 15–24, female	185	6.7%	50-99

Commuting (work and study)

Commuting indicators for Aurora do Tocantins/TO
Employed persons (aged 10 and over)	1,190
Commute out to work in another municipality	100
Commute in from another municipality to work here	105
Net commuting	+5
Out-commuting rate (%)	8.48
Commuting attraction index	1.000
Median commuting time	40 min

Open Aurora do Tocantins/TO 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]: Aurora do Tocantins/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/aurora-do-tocantins-to-1702703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.