Migration in Nova Aurora/GO (2017–2022)

Nova Aurora/GO had a reference population (aged 5 or over in 2022) of 1,995 people. In the 2017–2022 five-year period, the municipality received 240 in-migrants and lost 135 out-migrants to other municipalities in Brazil, resulting in a net migration of +105 people (53.04 per 1,000 population) and a migration effectiveness index (IEM) of 0.284. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Nova Aurora/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	240	175 to 305	good
Out-migrants	135	54 to 216	low precision
Net migration	+105	1 to 209	not classified
Net migration rate, TLM (per 1,000 pop.)	53.04	-	-
Migration effectiveness index (IEM)	0.284	-	-

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 Nova Aurora/GO
Origin	People	Precision
Corumbaíba/GO · view pair in the atlas	55	use with caution
Catalão/GO · view pair in the atlas	45	use with caution
Goiandira/GO · view pair in the atlas	30	low precision
Goiânia/GO · view pair in the atlas	20	low precision
Caldas Novas/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Nova Aurora/GO
Destination	People	Precision
No outflows published individually (below the disclosure threshold).

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	135	57.4%	50-99
First move from municipality of birth	80	34.0%	20-49
Return to municipality of birth	20	8.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	43.8%	20-49
No schooling or incomplete elementary	35	21.9%	20-49
Completed higher education	30	18.8%	5-19
Completed elementary, incomplete high school	25	15.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	85	35.4%	20-49
¼ to ½ minimum wage	70	29.2%	20-49
1 to 2 minimum wages	45	18.8%	20-49
More than 2 minimum wages	35	14.6%	5-19
Other / suppressed	5	2.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	40	17.0%	20-49
Ages 25–39, male	35	14.9%	20-49
Ages 40–59, male	30	12.8%	5-19
Ages 15–24, female	25	10.6%	5-19
Ages 5–14, male	20	8.5%	5-19
Ages 40–59, female	20	8.5%	5-19
Ages 15–24, male	20	8.5%	5-19
Ages 5–14, female	15	6.4%	5-19
Ages 60 and over, male	15	6.4%	5-19
Ages 60 and over, female	15	6.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	65	48.1%	5-19
Return to municipality of birth	55	40.7%	5-19
Other / suppressed	15	11.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	35	43.8%	5-19
Other / suppressed	25	31.2%	<5
Completed high school, incomplete higher education	20	25.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	55	40.7%	5-19
More than 2 minimum wages	50	37.0%	5-19
Other / suppressed	30	22.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	135	100.0%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	515	39.3%	100-499
Completed high school, incomplete higher education	450	34.4%	100-499
Completed higher education	205	15.6%	50-99
Completed elementary, incomplete high school	140	10.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	645	34.7%	100-499
1 to 2 minimum wages	570	30.6%	100-499
¼ to ½ minimum wage	330	17.7%	100-499
More than 2 minimum wages	205	11.0%	100-499
Up to ¼ of a minimum wage	100	5.4%	20-49
Not applicable (collective dwelling)	10	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	285	16.1%	100-499
Ages 40–59, female	270	15.3%	100-499
Ages 60 and over, male	240	13.6%	100-499
Ages 60 and over, female	225	12.7%	100-499
Ages 25–39, male	160	9.1%	50-99
Ages 25–39, female	140	7.9%	50-99
Ages 15–24, male	125	7.1%	50-99
Ages 5–14, female	115	6.5%	50-99
Ages 5–14, male	105	5.9%	50-99
Ages 15–24, female	100	5.7%	20-49

Commuting (work and study)

Commuting indicators for Nova Aurora/GO
Employed persons (aged 10 and over)	935
Commute out to work in another municipality	190
Commute in from another municipality to work here	5
Net commuting	−185
Out-commuting rate (%)	20.47
Commuting attraction index	0.792
Median commuting time	40 min

Open Nova Aurora/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]: Nova Aurora/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-aurora-go-5214804/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.