Migration in Mundo Novo/GO (2017–2022)

Mundo Novo/GO had a reference population (aged 5 or over in 2022) of 5,850 people. In the 2017–2022 five-year period, the municipality received 845 in-migrants and lost 660 out-migrants to other municipalities in Brazil, resulting in a net migration of +180 people (31.10 per 1,000 population) and a migration effectiveness index (IEM) of 0.121. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Mundo Novo/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	845	693 to 997	good
Out-migrants	660	418 to 902	use with caution
Net migration	+180	−106 to 466	not classified
Net migration rate, TLM (per 1,000 pop.)	31.10	-	-
Migration effectiveness index (IEM)	0.121	-	-

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 Mundo Novo/GO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	195	use with caution
Nova Crixás/GO · view pair in the atlas	100	use with caution
São Miguel do Araguaia/GO · view pair in the atlas	80	use with caution
Mozarlândia/GO · view pair in the atlas	30	low precision
Trindade/GO · view pair in the atlas	15	low precision
Uirapuru/GO · view pair in the atlas	15	low precision
Goianira/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Mundo Novo/GO
Destination	People	Precision
Nova Crixás/GO · view pair in the atlas	95	low precision
Crixás/GO · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	430	51.2%	100-499
First move from municipality of birth	305	36.3%	50-99
Return to municipality of birth	105	12.5%	20-49
Other / suppressed	0	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	270	48.6%	50-99
Completed high school, incomplete higher education	115	20.7%	20-49
Completed elementary, incomplete high school	105	18.9%	20-49
Completed higher education	65	11.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	320	38.1%	100-499
1 to 2 minimum wages	250	29.8%	50-99
¼ to ½ minimum wage	170	20.2%	50-99
More than 2 minimum wages	55	6.5%	5-19
Up to ¼ of a minimum wage	45	5.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	145	17.2%	20-49
Ages 40–59, male	125	14.8%	20-49
Ages 25–39, male	115	13.6%	20-49
Ages 40–59, female	105	12.4%	20-49
Ages 15–24, female	90	10.7%	20-49
Ages 5–14, female	85	10.1%	20-49
Ages 15–24, male	65	7.7%	20-49
Ages 5–14, male	50	5.9%	5-19
Ages 60 and over, male	35	4.1%	5-19
Ages 60 and over, female	30	3.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	340	51.5%	50-99
First move from municipality of birth	295	44.7%	20-49
Other / suppressed	25	3.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	165	39.3%	20-49
Completed high school, incomplete higher education	120	28.6%	5-19
Completed elementary, incomplete high school	120	28.6%	5-19
Other / suppressed	15	3.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	290	43.6%	20-49
1 to 2 minimum wages	150	22.6%	20-49
More than 2 minimum wages	100	15.0%	5-19
¼ to ½ minimum wage	65	9.8%	5-19
Up to ¼ of a minimum wage	60	9.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	125	18.8%	5-19
Ages 25–39, male	105	15.8%	5-19
Ages 15–24, male	95	14.3%	5-19
Ages 40–59, female	60	9.0%	5-19
Ages 15–24, female	60	9.0%	5-19
Ages 40–59, male	55	8.3%	5-19
Ages 5–14, female	50	7.5%	5-19
Ages 60 and over, male	40	6.0%	5-19
Ages 5–14, male	40	6.0%	5-19
Ages 60 and over, female	35	5.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,150	59.7%	>=500
Completed high school, incomplete higher education	735	20.4%	100-499
Completed elementary, incomplete high school	410	11.4%	100-499
Completed higher education	305	8.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,340	43.9%	>=500
1 to 2 minimum wages	1,415	26.5%	100-499
¼ to ½ minimum wage	865	16.2%	100-499
More than 2 minimum wages	435	8.2%	100-499
Up to ¼ of a minimum wage	255	4.8%	50-99
Not applicable (collective dwelling)	20	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	820	16.4%	100-499
Ages 40–59, male	820	16.4%	100-499
Ages 60 and over, male	540	10.8%	100-499
Ages 25–39, male	490	9.8%	100-499
Ages 25–39, female	480	9.6%	100-499
Ages 60 and over, female	450	9.0%	100-499
Ages 15–24, male	400	8.0%	100-499
Ages 5–14, male	370	7.4%	100-499
Ages 15–24, female	335	6.7%	50-99
Ages 5–14, female	285	5.7%	50-99

Commuting (work and study)

Commuting indicators for Mundo Novo/GO
Employed persons (aged 10 and over)	2,780
Commute out to work in another municipality	65
Commute in from another municipality to work here	100
Net commuting	+35
Out-commuting rate (%)	2.28
Commuting attraction index	1.007
Median commuting time	120 min

Open Mundo Novo/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]: Mundo Novo/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mundo-novo-go-5214051/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.