Portugal MFIs Lending Rate: New: WA: RE: NC: Over EUR 1 MN: ow 1 Year Fixation Rate data was reported at 1.630 % pa in Sep 2018. This records a decrease from the previous number of 1.750 % pa for Aug 2018. Portugal MFIs Lending Rate: New: WA: RE: NC: Over EUR 1 MN: ow 1 Year Fixation Rate data is updated monthly, averaging 3.920 % pa from Jan 2003 (Median) to Sep 2018, with 189 observations. The data reached an all-time high of 6.510 % pa in Sep 2008 and a record low of 1.530 % pa in Dec 2017. Portugal MFIs Lending Rate: New: WA: RE: NC: Over EUR 1 MN: ow 1 Year Fixation Rate data remains active status in CEIC and is reported by Bank of Portugal. The data is categorized under Global Database’s Portugal – Table PT.M007: Lending Rate: Weighted Average.

In Portugal, Toys R Us was selected by 70.5 percent of respondents as their favorite toy store, followed by Continente - a retail chain that belongs to Sonae Distribuição, the largest retailer in Portugal – with around 26 percent. Centroxogo ranked third, selected by approximately 15 percent of respondents.

Retail Sales in Portugal increased 5.40 percent in January of 2025 over the same month in the previous year. This dataset provides - Portugal Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Portugal PT: Natural Gas Price: NH: Between 10000 & 99999 GJ: excl VAT & Other Recoverable Taxes & Levies data was reported at 0.049 EUR/kWh in Jun 2024. This records a decrease from the previous number of 0.060 EUR/kWh for Dec 2023. Portugal PT: Natural Gas Price: NH: Between 10000 & 99999 GJ: excl VAT & Other Recoverable Taxes & Levies data is updated semiannually, averaging 0.034 EUR/kWh from Dec 2007 (Median) to Jun 2024, with 34 observations. The data reached an all-time high of 0.101 EUR/kWh in Dec 2022 and a record low of 0.024 EUR/kWh in Dec 2020. Portugal PT: Natural Gas Price: NH: Between 10000 & 99999 GJ: excl VAT & Other Recoverable Taxes & Levies data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Portugal – Table PT.Eurostat: Natural Gas Price: Non-Household Consumers.

The required rate to return to equity depicts how much profit is needed in order for an investment or project to move forward. In this time period, in Portugal, the average required return to equity fluctuated. As of 2023, the required return to equity in Portugal was 11.6 percent.

The gross domestic expenditure on R&D (GERD) in Portugal increased by 0.03 percent of GDP (+1.8 percent) in 2022. While the growth in this industry is slowing down, with 1.7 percent of GDP, the gross domestic expenditure is at its peak in the observed period. Find more key insights for the gross domestic expenditure on R&D (GERD) in countries like France and Netherlands.

Wskaźnik harmonizowanego wskaźnika inflacji R/R w Portugalii spadł do 2,70 procent w styczniu z 3,10 procent w grudniu 2024 roku. Aktualne wartości, dane historyczne, prognozy, statystyki, wykresy i kalendarz ekonomiczny - Portugalia - Zharmonizowany wskaźnik inflacji r/r.

In Portugal, from September 2021 to November 2022, over 39 percent of men consumed tobacco over the past year, whereas 21 percent of women did the same. The age group with the highest share of male smokers was the one between 45 and 54 years, at 46.4 percent. Women aged between 35 and 44 smoked the most, with a share of 35 percent.

The dataset comprises in one zip-archive: 1) PortugueseCoastline_1958.shp - polyline shapefile mapping the 1958 coastline; 2) PortugueseCoastline_2010.shp - polyline shapefile mapping the 2010 coastline; 3) Rate_of_Change_250m_1958_2010.shp - polyline shapefile representing the long-term change rates between 1958 and 2010, estimated at each 250 m. Rate of change vectors are represented with an exaggeration factor of 5. Rate of change shapefile table of content has the distance of each coastline to a referenced baseline (Date_20100601 and Date_19580101 columns); the distance calculated between both coastlines (Distance column) and rate of change respectively (ChangeRate column). […]

Wskaźnik cen nieruchomości rok do roku w Portugalii wzrósł do 9,80 procent w trzecim kwartale 2024 roku z 7,80 procent w drugim kwartale 2024 roku. Aktualne wartości, dane historyczne, prognozy, statystyki, wykresy i kalendarz ekonomiczny - Portugalia - Indeks Cen Domów r/r.

Wskaźnik cen konsumpcyjnych w Portugalii spadł o 0,10 procent w lutym 2025 r. w porównaniu z poprzednim miesiącem. Aktualne wartości, dane historyczne, prognozy, statystyki, wykresy i kalendarz ekonomiczny - Portugalia - Inflacja m/m.

This statistic shows the national debt of Portugal from 2019 to 2023, with projections up until 2029. In 2023, the national debt in Portugal was around 271.09 billion U.S. dollars.

Francisco was the most popular first name for boys registered in Portugal in 2024, with 1,270 registrations. Lourenço followed, with 1,040 newborn baby boys under this name, while Vicente and Tomás closed the podium, with 1,036 registrations each. The names for baby girls in Portugal were dominated, in 2024, by the name Maria, which was registered 4,295 times. Alice and Benedita followed at a distance, with an average of 980 registrations each. Sinking birth rates and rising life expectancy in Portugal and throughout Europe   Europe’s crude birth rate was 9.2 in 2022, having slumped when compared to previous decades. The low birth rates on the continent occurred simultaneously with an increasing life expectancy, which emphasizes the aging of the European population. Also in 2022, Portugal presented one of the continent’s lowest birth rates, namely 7.8, and the average age of women when giving birth to their first child has risen continuously over the last decade. However, since 2021 there has been a decrease. Decreasing population in Portugal, but boosting numbers of elderly people   The Portuguese population is expected to decrease during the upcoming decade. As of 2035, it is predicted that Portugal’s nationals will equal to less than 10 million, almost 2.9 million of which will be 65 years of age and older. This figure presents an increase of almost 700,000 senior citizens compared to the recorded figures of 2015.

According to the 2020 UNIDOMO questionnaire, Portugal clearly led the list of European countries with the highest divorce rate per 100 marriages. With 91.5 divorces the Portuguese Republic led the list, followed by Spain and Luxembourg. All three countries boast a significantly higher share than the other European countries, each reporting a divorce rate over 80 divorces.

A different way to look at Portugal

While Portugal clearly has the most divorces per 100 marriages, looking at divorce rates per 1.000 inhabitants in other European countries alters the picture of the country as one unsettled by significant numbers of divorces. With nearly 1.7 divorces per 1,000 inhabitants Portugal has roughly the same divorce rate as Germany and the Netherlands. Interesting is furthermore that although marriages in Portugal tend to result in divorce lightly more often as in Luxembourg (80.3%), the Grand Duchy of Luxembourg experienced a 0.6 point higher divorce rate.

What about the rest of the World?

While compared with Latin American countries like Guatemala or Peru, ranked among the countries with the lowest divorce rates in the world, Luxembourg’s divorce rate seems excessive. However, when compared with divorce rates (per 1.000 inhabitants) of countries like the United States (2.7) or China (3.5) divorce rates from Luxembourg and Europe are not out of the ordinary.

As of January 18, 2023, Portugal had the highest COVID-19 vaccination rate in Europe having administered 272.78 doses per 100 people in the country, while Malta had administered 258.49 doses per 100. The UK was the first country in Europe to approve the Pfizer/BioNTech vaccine for widespread use and began inoculations on December 8, 2020, and so far have administered 224.04 doses per 100. At the latest data, Belgium had carried out 253.89 doses of vaccines per 100 population. Russia became the first country in the world to authorize a vaccine - named Sputnik V - for use in the fight against COVID-19 in August 2020. As of August 4, 2022, Russia had administered 127.3 doses per 100 people in the country.

The seven-day rate of cases across Europe shows an ongoing perspective of which countries are worst affected by the virus relative to their population. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

This database that can be used for macro-level analysis of road accidents on interurban roads in Europe. Through the variables it contains, road accidents can be explained using variables related to economic resources invested in roads, traffic, road network, socioeconomic characteristics, legislative measures and meteorology. This repository contains the data used for the analysis carried out in the papers:

1. Calvo-Poyo F., Navarro-Moreno J., de Oña J. (2020) Road Investment and Traffic Safety: An International Study. Sustainability 12:6332. https://doi.org/10.3390/su12166332

2. Navarro-Moreno J., Calvo-Poyo F., de Oña J. (2022) Influence of road investment and maintenance expenses on injured traffic crashes in European roads. Int J Sustain Transp 1–11. https://doi.org/10.1080/15568318.2022.2082344

3. Navarro-Moreno, J., Calvo-Poyo, F., de Oña, J. (2022) Investment in roads and traffic safety: linked to economic development? A European comparison. Environ. Sci. Pollut. Res. https://doi.org/10.1007/s11356-022-22567

The file with the database is available in excel.

DATA SOURCES

The database presents data from 1998 up to 2016 from 20 european countries: Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden and United Kingdom. Crash data were obtained from the United Nations Economic Commission for Europe (UNECE) [2], which offers enough level of disaggregation between crashes occurring inside versus outside built-up areas.

With reference to the data on economic resources invested in roadways, deserving mention –given its extensive coverage—is the database of the Organisation for Economic Cooperation and Development (OECD), managed by the International Transport Forum (ITF) [1], which collects data on investment in the construction of roads and expenditure on their maintenance, following the definitions of the United Nations System of National Accounts (2008 SNA). Despite some data gaps, the time series present consistency from one country to the next. Moreover, to confirm the consistency and complete missing data, diverse additional sources, mainly the national Transport Ministries of the respective countries were consulted. All the monetary values were converted to constant prices in 2015 using the OECD price index.

To obtain the rest of the variables in the database, as well as to ensure consistency in the time series and complete missing data, the following national and international sources were consulted:

• Eurostat [3]
• Directorate-General for Mobility and Transport (DG MOVE). European Union [4]
• The World Bank [5]
• World Health Organization (WHO) [6]
• European Transport Safety Council (ETSC) [7]
• European Road Safety Observatory (ERSO) [8]
• European Climatic Energy Mixes (ECEM) of the Copernicus Climate Change [9]
• EU BestPoint-Project [10]
• Ministerstvo dopravy, República Checa [11]
• Bundesministerium für Verkehr und digitale Infrastruktur, Alemania [12]
• Ministerie van Infrastructuur en Waterstaat, Países Bajos [13]
• National Statistics Office, Malta [14]
• Ministério da Economia e Transição Digital, Portugal [15]
• Ministerio de Fomento, España [16]
• Trafikverket, Suecia [17]
• Ministère de l’environnement de l’énergie et de la mer, Francia [18]
• Ministero delle Infrastrutture e dei Trasporti, Italia [19–25]
• Statistisk sentralbyrå, Noruega [26-29]
• Instituto Nacional de Estatística, Portugal [30]
• Infraestruturas de Portugal S.A., Portugal [31–35]
• Road Safety Authority (RSA), Ireland [36]

DATA BASE DESCRIPTION

The database was made trying to combine the longest possible time period with the maximum number of countries with complete dataset (some countries like Lithuania, Luxemburg, Malta and Norway were eliminated from the definitive dataset owing to a lack of data or breaks in the time series of records). Taking into account the above, the definitive database is made up of 19 variables, and contains data from 20 countries during the period between 1998 and 2016. Table 1 shows the coding of the variables, as well as their definition and unit of measure.

Table. Database metadata

| Code | Variable and unit | | fatal_pc_km | Fatalities per billion passenger-km | | fatal_mIn | Fatalities per million inhabitants | | accid_adj_pc_km | Accidents per billion passenger-km | | p_km | Billions of passenger-km | | croad_inv_km | Investment in roads construction per kilometer, €/km (2015 constant prices) | | croad_maint_km | Expenditure on roads maintenance per kilometer €/km (2015 constant prices) | | prop_motorwa | Proportion of motorways over the total road network (%) | | populat | Population, in millions of inhabitants | | unemploy | Unemployment rate (%) | | petro_car | Consumption of gasolina and petrol derivatives (tons), per tourism | | alcohol | Alcohol consumption, in liters per capita (age > 15) | | mot_index | Motorization index, in cars per 1,000 inhabitants | | den_populat | Population density, inhabitants/km2 | | cgdp | Gross Domestic Product (GDP), in € (2015 constant prices) | | cgdp_cap | GDP per capita, in € (2015 constant prices) | | precipit | Average depth of rain water during a year (mm) | | prop_elder | Proportion of people over 65 years (%) | | dps | Demerit Point System, dummy variable (0: no; 1: yes) | | freight | Freight transport, in billions of ton-km |

ACKNOWLEDGEMENTS

This database was carried out in the framework of the project “Inversión en carreteras y seguridad vial: un análisis internacional (INCASE)”, financed by: FEDER/Ministerio de Ciencia, Innovación y Universidades–Agencia Estatal de Investigación/Proyecto RTI2018-101770-B-I00, within Spain´s National Program of R+D+i Oriented to Societal Challenges.

Moreover, the authors would like to express their gratitude to the Ministry of Transport, Mobility and Urban Agenda of Spain (MITMA), and the Federal Ministry of Transport and Digital Infrastructure of Germany (BMVI) for providing data for this study.

REFERENCES

1. International Transport Forum OECD iLibrary | Transport infrastructure investment and maintenance.

2. United Nations Economic Commission for Europe UNECE Statistical Database Available online: https://w3.unece.org/PXWeb2015/pxweb/en/STAT/STAT_40-TRTRANS/?rxid=18ad5d0d-bd5e-476f-ab7c-40545e802eeb (accessed on Apr 28, 2020).

3. European Commission Database - Eurostat Available online: https://ec.europa.eu/eurostat/data/database (accessed on Apr 28, 2021).

4. Directorate-General for Mobility and Transport. European Commission EU Transport in figures - Statistical Pocketbooks Available online: https://ec.europa.eu/transport/facts-fundings/statistics_en (accessed on Apr 28, 2021).

5. World Bank Group World Bank Open Data | Data Available online: https://data.worldbank.org/ (accessed on Apr 30, 2021).

6. World Health Organization (WHO) WHO Global Information System on Alcohol and Health Available online: https://apps.who.int/gho/data/node.main.GISAH?lang=en (accessed on Apr 29, 2021).

7. European Transport Safety Council (ETSC) Traffic Law Enforcement across the EU - Tackling the Three Main Killers on Europe’s Roads; Brussels, Belgium, 2011;

8. Copernicus Climate Change Service Climate data for the European energy sector from 1979 to 2016 derived from ERA-Interim Available online: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-european-energy-sector?tab=overview (accessed on Apr 29, 2021).

9. Klipp, S.; Eichel, K.; Billard, A.; Chalika, E.; Loranc, M.D.; Farrugia, B.; Jost, G.; Møller, M.; Munnelly, M.; Kallberg, V.P.; et al. European Demerit Point Systems : Overview of their main features and expert opinions. EU BestPoint-Project 2011, 1–237.

10. Ministerstvo dopravy Serie: Ročenka dopravy; Ročenka dopravy; Centrum dopravního výzkumu: Prague, Czech Republic;

11. Bundesministerium für Verkehr und digitale Infrastruktur Verkehr in Zahlen 2003/2004; Hamburg, Germany, 2004; ISBN 3871542946.

12. Bundesministerium für Verkehr und digitale Infrastruktur Verkehr in Zahlen 2018/2019. In Verkehrsdynamik; Flensburg, Germany, 2018 ISBN 9783000612947.

13. Ministerie van Infrastructuur en Waterstaat Rijksjaarverslag 2018 a Infrastructuurfonds; The Hague, Netherlands, 2019; ISBN 0921-7371.

14. Ministerie van Infrastructuur en Milieu Rijksjaarverslag 2014 a Infrastructuurfonds; The Hague, Netherlands, 2015; ISBN 0921- 7371.

15. Ministério da Economia e Transição Digital Base de Dados de Infraestruturas - GEE Available online: https://www.gee.gov.pt/pt/publicacoes/indicadores-e-estatisticas/base-de-dados-de-infraestruturas (accessed on Apr 29, 2021).

16. Ministerio de Fomento. Dirección General de Programación Económica y Presupuestos. Subdirección General de Estudios Económicos y Estadísticas Serie: Anuario estadístico; NIPO 161-13-171-0; Centro de Publicaciones. Secretaría General Técnica. Ministerio de Fomento: Madrid, Spain;

17. Trafikverket The Swedish Transport Administration Annual report: 2017; 2018; ISBN 978-91-7725-272-6.

18. Ministère de l’Équipement, du T. et de la M. Mémento de statistiques des transports 2003; Ministère de l’environnement de l’énergie et de la mer, 2005;

19. Ministero delle Infrastrutture e dei Trasporti Conto Nazionale delle Infrastrutture e dei Trasporti Anno 2000; Istituto Poligrafico e Zecca dello Stato: Roma, Italy, 2001;

20. Ministero delle Infrastrutture e dei Trasporti Conto nazionale dei trasporti 1999. 2000.

21. Generale, D.; Informativi, S. delle Infrastrutture e dei Trasporti Anno 2004.

22. Ministero delle Infrastrutture e dei Trasporti *Conto Nazionale delle Infrastrutture e dei

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2023. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 117.5 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

Os dados de Taxa de Desemprego de Moçambique foram registrados em 3.67 % em 2023. Este registro de uma queda com relação aos números anteriores de 3.79 % em 2022. Os dados de Taxa de Desemprego de Moçambique são atualizados anualmente, com uma média de 3.09 % em 1991 até 2023, com 33 observações. Os dados alcançaram um alto recorde de 4.25 % em 2021 e um baixo recorde de 2.61 % em 1998. Os dados de Taxa de Desemprego de Moçambique permanecem com status ativo na CEIC e são reportados pela fonte: CEIC Data. Os dados são classificados sob o World Trend Plus’ Global Economic Monitor – Table: Unemployment Rate: Annual.

Turkey, Russia, Portugal, and Latvia were the countries with the highest house price-to-rent-ratio in the ranking in the second quarter of 2024. In all three countries, the ratio exceeded 160 index points, meaning that house price growth had outpaced rents by over 60 percent between 2015 and 2024. What does the house-price-to-rent ratio show? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is generally calculated by dividing the median house price by the median annual rent. In this statistic, the values have been normalized with 100 equaling the 2015 ratio. Consequentially, a value under 100 means that rental rates have risen more than house prices. When all OECD countries are considered as a whole, the gap between house prices and rents was wider than in the Euro area. Measures of housing affordability The national house-price-to-rent ratio may not fully reflect the cost of housing in a particular country, as it does not capture the price variations that can exist between different regions. It also does not take into consideration the relationship between incomes and housing costs, which is measured by the house-price-to-income and household-rent-to-income ratios. Taking both these factors into account uncovers vast differences in housing affordability between different regions and different professions.

England was given the highest chance of winning EURO 2024 ahead of the tournament, with a 19.9 percent chance of success. Meanwhile, Spain's initial chances stood at 9.6 percent.