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

Migration in Nova Esperança do Sudoeste/PR (2017–2022)

Nova Esperança do Sudoeste/PR had a reference population (aged 5 or over in 2022) of 5,240 people. In the 2017–2022 five-year period, the municipality received 710 in-migrants and lost 325 out-migrants to other municipalities in Brazil, resulting in a net migration of +385 people (73.62 per 1,000 population) and a migration effectiveness index (IEM) of 0.373. 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 Esperança do Sudoeste/PR, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants710574 to 846good
Out-migrants325205 to 445use with caution
Net migration+385204 to 566not classified
Net migration rate, TLM (per 1,000 pop.)73.62--
Migration effectiveness index (IEM)0.373--

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 Nova Esperança do Sudoeste/PR
OriginPeoplePrecision
Salto do Lontra/PR · view pair in the atlas130use with caution
Francisco Beltrão/PR · view pair in the atlas95low precision
Joinville/SC · view pair in the atlas70low precision
Dois Vizinhos/PR · view pair in the atlas50low precision
Enéas Marques/PR · view pair in the atlas50low precision
Curitiba/PR · view pair in the atlas30low precision
Nova Prata do Iguaçu/PR · view pair in the atlas20low precision
Ampére/PR · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Nova Esperança do Sudoeste/PR
DestinationPeoplePrecision
Francisco Beltrão/PR · view pair in the atlas80low precision
Enéas Marques/PR · view pair in the atlas65low precision
Salto do Lontra/PR · view pair in the atlas50low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth28540.1%100-499
Multi-step migration27038.0%50-99
Return to municipality of birth15021.1%50-99
Other / suppressed50.7%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18040.9%50-99
Completed high school, incomplete higher education13029.5%20-49
Completed elementary, incomplete high school9521.6%20-49
Completed higher education358.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages27538.5%50-99
½ to 1 minimum wage23532.9%50-99
More than 2 minimum wages13018.2%20-49
¼ to ½ minimum wage557.7%20-49
Up to ¼ of a minimum wage202.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female11015.6%20-49
Ages 40–59, female9012.8%20-49
Ages 40–59, male8512.1%20-49
Ages 15–24, female8512.1%20-49
Ages 25–39, male8011.3%20-49
Ages 15–24, male709.9%20-49
Ages 5–14, male608.5%20-49
Ages 5–14, female507.1%5-19
Ages 60 and over, male405.7%5-19
Ages 60 and over, female355.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration17052.3%20-49
First move from municipality of birth10532.3%20-49
Return to municipality of birth5015.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education7536.6%5-19
No schooling or incomplete elementary6531.7%5-19
Completed elementary, incomplete high school5024.4%5-19
Other / suppressed157.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages13541.5%5-19
½ to 1 minimum wage10030.8%20-49
More than 2 minimum wages5516.9%5-19
Other / suppressed3510.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female8025.4%5-19
Ages 15–24, female6520.6%5-19
Ages 40–59, female3511.1%5-19
Ages 15–24, male3511.1%5-19
Other / suppressed309.5%5-19
Ages 60 and over, female257.9%5-19
Ages 40–59, male257.9%5-19
Ages 25–39, male206.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,71052.7%>=500
Completed high school, incomplete higher education69521.4%100-499
Completed elementary, incomplete high school55517.1%100-499
Completed higher education2858.8%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages1,73535.5%>=500
½ to 1 minimum wage1,42029.1%100-499
More than 2 minimum wages1,27026.0%100-499
¼ to ½ minimum wage3356.9%100-499
Up to ¼ of a minimum wage1252.6%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male74516.5%100-499
Ages 40–59, female67014.8%100-499
Ages 25–39, male49510.9%100-499
Ages 60 and over, female46010.2%100-499
Ages 25–39, female4459.8%100-499
Ages 60 and over, male4259.4%100-499
Ages 15–24, male3507.7%100-499
Ages 5–14, male3307.3%100-499
Ages 5–14, female3157.0%100-499
Ages 15–24, female2906.4%50-99

Commuting (work and study)

Commuting indicators for Nova Esperança do Sudoeste/PR
Employed persons (aged 10 and over)3,050
Commute out to work in another municipality310
Commute in from another municipality to work here145
Net commuting−160
Out-commuting rate (%)10.11
Commuting attraction index0.926
Median commuting time25 min

Open Nova Esperança do Sudoeste/PR 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 Esperança do Sudoeste/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-esperanca-do-sudoeste-pr-4116950/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.