Migration in Angélica/MS (2017–2022)

Angélica/MS had a reference population (aged 5 or over in 2022) of 9,985 people. In the 2017–2022 five-year period, the municipality received 1,100 in-migrants and lost 1,120 out-migrants to other municipalities in Brazil, resulting in a net migration of −25 people (−2.43 per 1,000 population) and a migration effectiveness index (IEM) of −0.011. This classifies the municipality, for the period, as one of migratory depletion. In addition, 15 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Angélica/MS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,100	876 to 1,324	good
Out-migrants	1,120	811 to 1,429	good
Net migration	−25	−406 to 356	not classified
Net migration rate, TLM (per 1,000 pop.)	−2.43	-	-
Migration effectiveness index (IEM)	−0.011	-	-

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 Angélica/MS
Origin	People	Precision
Ivinhema/MS · view pair in the atlas	130	use with caution
Deodápolis/MS · view pair in the atlas	95	low precision
Nova Andradina/MS · view pair in the atlas	90	low precision
Nova Alvorada do Sul/MS · view pair in the atlas	85	low precision
Campo Grande/MS · view pair in the atlas	70	low precision
Naviraí/MS · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Angélica/MS
Destination	People	Precision
Ivinhema/MS · view pair in the atlas	205	low precision
Nova Andradina/MS · view pair in the atlas	100	low precision
Deodápolis/MS · view pair in the atlas	70	low precision
Novo Horizonte do Sul/MS · view pair in the atlas	40	low precision
Santa Rita do Pardo/MS · view pair in the atlas	20	low precision
Jateí/MS · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	645	58.6%	100-499
First move from municipality of birth	425	38.6%	50-99
Return to municipality of birth	30	2.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	230	33.8%	20-49
Completed high school, incomplete higher education	215	31.6%	20-49
Completed elementary, incomplete high school	185	27.2%	20-49
Completed higher education	50	7.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	345	31.4%	50-99
½ to 1 minimum wage	340	30.9%	50-99
1 to 2 minimum wages	265	24.1%	50-99
More than 2 minimum wages	90	8.2%	5-19
Up to ¼ of a minimum wage	60	5.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	200	18.3%	20-49
Ages 25–39, male	175	16.0%	20-49
Ages 5–14, female	135	12.3%	20-49
Ages 40–59, male	125	11.4%	20-49
Ages 40–59, female	110	10.0%	20-49
Ages 15–24, male	100	9.1%	5-19
Ages 5–14, male	95	8.7%	5-19
Ages 15–24, female	80	7.3%	5-19
Ages 60 and over, male	50	4.6%	5-19
Other / suppressed	25	2.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	625	55.8%	50-99
Return to municipality of birth	315	28.1%	20-49
First move from municipality of birth	180	16.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	270	39.1%	20-49
No schooling or incomplete elementary	210	30.4%	20-49
Completed higher education	105	15.2%	5-19
Completed elementary, incomplete high school	105	15.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	350	31.1%	20-49
½ to 1 minimum wage	330	29.3%	20-49
¼ to ½ minimum wage	160	14.2%	20-49
Up to ¼ of a minimum wage	145	12.9%	5-19
More than 2 minimum wages	140	12.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	250	22.3%	20-49
Ages 5–14, male	170	15.2%	20-49
Ages 25–39, male	165	14.7%	20-49
Ages 15–24, female	105	9.4%	5-19
Ages 40–59, female	105	9.4%	5-19
Ages 5–14, female	90	8.0%	5-19
Ages 40–59, male	75	6.7%	5-19
Ages 60 and over, male	65	5.8%	5-19
Ages 15–24, male	65	5.8%	5-19
Other / suppressed	30	2.7%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,045	48.8%	>=500
Completed high school, incomplete higher education	1,480	23.7%	100-499
Completed elementary, incomplete high school	1,060	17.0%	100-499
Completed higher education	655	10.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,465	36.1%	>=500
1 to 2 minimum wages	2,640	27.5%	100-499
¼ to ½ minimum wage	1,550	16.1%	100-499
More than 2 minimum wages	1,035	10.8%	100-499
Up to ¼ of a minimum wage	900	9.4%	100-499
Other / suppressed	20	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,305	14.7%	100-499
Ages 40–59, female	1,275	14.4%	100-499
Ages 25–39, male	1,125	12.7%	100-499
Ages 25–39, female	1,020	11.5%	100-499
Ages 60 and over, female	785	8.9%	100-499
Ages 5–14, male	745	8.4%	100-499
Ages 60 and over, male	725	8.2%	100-499
Ages 5–14, female	675	7.6%	100-499
Ages 15–24, male	625	7.1%	100-499
Ages 15–24, female	580	6.5%	100-499

Commuting (work and study)

Commuting indicators for Angélica/MS
Employed persons (aged 10 and over)	4,575
Commute out to work in another municipality	155
Commute in from another municipality to work here	555
Net commuting	+395
Out-commuting rate (%)	3.42
Commuting attraction index	1.077
Median commuting time	60 min

Open Angélica/MS 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]: Angélica/MS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/angelica-ms-5000856/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.