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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Dona Francisca/RS (2017–2022)

Dona Francisca/RS had a reference population (aged 5 or over in 2022) of 2,925 people. In the 2017–2022 five-year period, the municipality received 215 in-migrants and lost 265 out-migrants to other municipalities in Brazil, resulting in a net migration of −50 people (−17.66 per 1,000 population) and a migration effectiveness index (IEM) of −0.107. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Dona Francisca/RS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants215144 to 286use with caution
Out-migrants265171 to 359use with caution
Net migration−50−168 to 68not classified
Net migration rate, TLM (per 1,000 pop.)−17.66--
Migration effectiveness index (IEM)−0.107--

Sample of in-migrants: 50-99 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 Francisca/RS
OriginPeoplePrecision
Agudo/RS · view pair in the atlas45low precision
Nova Palma/RS · view pair in the atlas15low precision
Santa Maria/RS · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Dona Francisca/RS
DestinationPeoplePrecision
Faxinal do Soturno/RS · view pair in the atlas85use with caution
Agudo/RS · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth11552.3%20-49
Multi-step migration8036.4%20-49
Return to municipality of birth2511.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education7550.0%20-49
No schooling or incomplete elementary3523.3%5-19
Completed higher education3020.0%5-19
Completed elementary, incomplete high school106.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages8036.4%20-49
½ to 1 minimum wage6027.3%20-49
¼ to ½ minimum wage3013.6%5-19
More than 2 minimum wages2511.4%5-19
Up to ¼ of a minimum wage2511.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male4521.4%5-19
Ages 25–39, female3516.7%5-19
Other / suppressed3014.3%5-19
Ages 40–59, female3014.3%5-19
Ages 15–24, male209.5%5-19
Ages 5–14, male209.5%5-19
Ages 15–24, female157.1%5-19
Ages 40–59, male157.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth15056.6%20-49
Multi-step migration11041.5%20-49
Other / suppressed51.9%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5533.3%5-19
Completed elementary, incomplete high school4527.3%5-19
Completed higher education3521.2%5-19
Completed high school, incomplete higher education3018.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages11542.6%20-49
½ to 1 minimum wage11040.7%20-49
More than 2 minimum wages3513.0%5-19
Other / suppressed103.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female5019.2%5-19
Ages 40–59, female4517.3%5-19
Ages 15–24, female3513.5%5-19
Ages 15–24, male3513.5%5-19
Other / suppressed3011.5%5-19
Ages 25–39, male259.6%5-19
Ages 60 and over, female207.7%5-19
Ages 5–14, female207.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,01047.9%100-499
Completed high school, incomplete higher education49023.2%100-499
Completed elementary, incomplete high school36517.3%100-499
Completed higher education24511.6%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,24043.3%100-499
1 to 2 minimum wages76026.5%100-499
More than 2 minimum wages33011.5%100-499
¼ to ½ minimum wage32511.3%100-499
Up to ¼ of a minimum wage2107.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male42515.7%100-499
Ages 40–59, female41015.1%100-499
Ages 60 and over, female40014.7%100-499
Ages 60 and over, male35012.9%100-499
Ages 25–39, male2659.8%100-499
Ages 25–39, female2609.6%50-99
Ages 15–24, female1605.9%50-99
Ages 5–14, male1605.9%50-99
Ages 5–14, female1455.3%20-49
Ages 15–24, male1405.2%20-49

Commuting (work and study)

Commuting indicators for Dona Francisca/RS
Employed persons (aged 10 and over)1,145
Commute out to work in another municipality235
Commute in from another municipality to work here145
Net commuting−90
Out-commuting rate (%)20.35
Commuting attraction index0.918
Median commuting time20 min

Open Dona Francisca/RS 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 Francisca/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dona-francisca-rs-4306700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.