Migration in Dona Emma/SC (2017–2022)

Dona Emma/SC had a reference population (aged 5 or over in 2022) of 3,930 people. In the 2017–2022 five-year period, the municipality received 680 in-migrants and lost 240 out-migrants to other municipalities in Brazil, resulting in a net migration of +440 people (112.13 per 1,000 population) and a migration effectiveness index (IEM) of 0.479. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Dona Emma/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	680	543 to 817	good
Out-migrants	240	155 to 325	use with caution
Net migration	+440	279 to 601	not classified
Net migration rate, TLM (per 1,000 pop.)	112.13	-	-
Migration effectiveness index (IEM)	0.479	-	-

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 Dona Emma/SC
Origin	People	Precision
Presidente Getúlio/SC · view pair in the atlas	110	use with caution
Blumenau/SC · view pair in the atlas	50	low precision
Indaial/SC · view pair in the atlas	35	low precision
Ibirama/SC · view pair in the atlas	35	low precision
Witmarsum/SC · view pair in the atlas	30	low precision
Rio do Sul/SC · view pair in the atlas	20	low precision
Vila Flor/RN · view pair in the atlas	20	low precision
José Boiteux/SC · view pair in the atlas	15	low precision
Natal/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Dona Emma/SC
Destination	People	Precision
Presidente Getúlio/SC · view pair in the atlas	55	low precision
Witmarsum/SC · view pair in the atlas	55	low precision
José Boiteux/SC · view pair in the atlas	25	low precision
Ibirama/SC · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	370	54.0%	100-499
First move from municipality of birth	255	37.2%	50-99
Return to municipality of birth	55	8.0%	5-19
Other / suppressed	5	0.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	155	35.6%	50-99
Completed high school, incomplete higher education	125	28.7%	20-49
Completed elementary, incomplete high school	95	21.8%	20-49
Completed higher education	60	13.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	280	41.2%	50-99
1 to 2 minimum wages	220	32.4%	50-99
More than 2 minimum wages	100	14.7%	20-49
¼ to ½ minimum wage	70	10.3%	20-49
Other / suppressed	10	1.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	115	17.2%	20-49
Ages 25–39, male	100	14.9%	20-49
Ages 40–59, male	75	11.2%	20-49
Ages 5–14, male	70	10.4%	20-49
Ages 15–24, male	65	9.7%	20-49
Ages 40–59, female	60	9.0%	20-49
Ages 15–24, female	55	8.2%	20-49
Ages 5–14, female	50	7.5%	5-19
Ages 60 and over, female	45	6.7%	5-19
Ages 60 and over, male	35	5.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	120	50.0%	20-49
First move from municipality of birth	60	25.0%	5-19
Return to municipality of birth	60	25.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	55	37.9%	5-19
Completed high school, incomplete higher education	35	24.1%	5-19
Completed elementary, incomplete high school	30	20.7%	5-19
Other / suppressed	25	17.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	90	36.7%	20-49
More than 2 minimum wages	60	24.5%	5-19
½ to 1 minimum wage	60	24.5%	5-19
¼ to ½ minimum wage	20	8.2%	5-19
Other / suppressed	15	6.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	45	19.1%	5-19
Ages 25–39, female	45	19.1%	5-19
Ages 25–39, male	40	17.0%	5-19
Ages 15–24, male	30	12.8%	5-19
Ages 40–59, male	25	10.6%	5-19
Ages 5–14, female	20	8.5%	5-19
Other / suppressed	15	6.4%	5-19
Ages 40–59, female	15	6.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,145	48.8%	100-499
Completed high school, incomplete higher education	560	23.9%	100-499
Completed elementary, incomplete high school	370	15.8%	100-499
Completed higher education	270	11.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,725	48.9%	>=500
½ to 1 minimum wage	995	28.2%	100-499
More than 2 minimum wages	670	19.0%	100-499
¼ to ½ minimum wage	115	3.3%	20-49
Other / suppressed	20	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	500	15.5%	100-499
Ages 40–59, female	490	15.2%	100-499
Ages 25–39, male	400	12.4%	100-499
Ages 25–39, female	330	10.2%	100-499
Ages 60 and over, male	310	9.6%	100-499
Ages 60 and over, female	305	9.4%	100-499
Ages 15–24, male	260	8.0%	50-99
Ages 5–14, female	225	7.0%	50-99
Ages 15–24, female	205	6.3%	50-99
Ages 5–14, male	205	6.3%	50-99

Commuting (work and study)

Commuting indicators for Dona Emma/SC
Employed persons (aged 10 and over)	2,445
Commute out to work in another municipality	155
Commute in from another municipality to work here	125
Net commuting	−30
Out-commuting rate (%)	6.35
Commuting attraction index	0.961
Median commuting time	30 min

This municipality is part of Região Metropolitana do Alto Vale do Itajaí → see the metropolitan region page

Open Dona Emma/SC 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]: Dona Emma/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dona-emma-sc-4205100/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.