Annual ranking of countries based on crime rates, political stability, health safety, and environmental safety

The Global Peace Index reflects the level of safety in different countries. This ranking was developed by an international group of researchers from the Institute for Economics and Peace in collaboration with the Centre for Peace and Conflict Studies at the University of Sydney.

The average for 2024 based on 175 countries was 4.88 index points. The highest value was in Mali: 9.7 index points and the lowest value was in Portugal: 0.2 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.

In 2021, Singapore had the highest order and security index score across the Asia-Pacific region, with a score of **** out of one. Comparatively, Pakistan had the lowest order and security index score in the Asia-Pacific region, scoring **** out of one in 2021.

The average for 2024 based on 20 countries was 5.32 index points. The highest value was in Mexico: 8 index points and the lowest value was in Costa Rica: 3.1 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.

In 2025, Monaco and Andorra were the two safest countries in the world, according to the World Risk Index. San Marino followed behind. The Global Risk Index assesses the risk for disaster of 193 countries.

Most dangerous countries On the other end of the scale, the Philippines was ranked as the country with the highest risk rate with a score of 46.56. Indonesia and India followed behind. A high number of the countries with the highest risk rates were located in Asia. The World Risk Index - Assessing the risk of disaster In the framework of the World Risk Index, disaster risk is analyzed as a complex interplay of natural hazards and social, political and environmental factors. Unlike current approaches that focus strongly on the analysis of the various natural hazards, the World Risk Index, in addition to exposure analysis, focuses on the vulnerability of the population, i.e. its susceptibility, its capacities to cope with and to adapt to future natural events as well as the consequences of climate change. Disaster risk is seen as a function of exposure and vulnerability. The national states are the frame of reference for the analysis. The index consists of indicators in four components: exposure to natural hazards such as earthquakes, storms, floods, droughts and sea level rise; susceptibility as a function of public infrastructure, nutrition and the general economic framework; coping capacities as a function of governance, medical services and economic security; and adaptive capacities to future natural events and climate change.

Estimated number of civilian guns per capita by country vs. crime and safety index

data sources: 1. Privately owned guns: https://en.wikipedia.org/wiki/Estimated_number_of_civilian_guns_per_capita_by_country 2. Crime and Safety Index: https://www.numbeo.com/crime/rankings_by_country.jsp

cover image credit: https://www.pexels.com/photo/hand-of-a-person-holding-black-semi-automatic-pistol-5202395/

This dataset provides a ranking of countries based on their safety for female travelers. It combines data from the Women, Peace and Security Index (WPSI) 2023 and the Women's Danger Index (WDI) 2019. The WPSI measures women's safety and security globally, while the WDI focuses on specific factors such as street safety, intentional homicide, and violence against women.

Iceland was the most peaceful country in the world in 2025 with an index value of 1.1. Ireland, New Zealand, and Austria followed behind.What is the Global Peace Index? The Global Peace Index is an effort by the Institute for Economics and Peace to measure the degree of peacefulness in countries across the world and rank them accordingly. The first list was created in 2007 and has since then been published annually. The index includes a number of indicators relating to both domestic and international peacefulness. International indicators In regards to international affairs the majority of indicators relate to involvement in military conflict or the efforts of the state in question to resolve conflict and ensure the safety of those affected. For example those states that give more financial support to UN peacekeeping missions are considered to be more peaceful while those who have a higher military expenditure as a percentage of gross domestic product (GDP) are considered to be less peaceful. The United States never reached the top 20 of the list, in part due to it having a high level of military spending as a percentage of GDP. Domestic factors Domestic indicators focus on both the amount of violence and crime in addition to incarceration rates. Again, the United States fails to reach levels akin to other countries. The country’s incarceration rates are significantly higher than in other OEDC countries. Moreover, the number of deaths from gun violence also contributes to the relatively low peacefulness ranking of the United States.

Iceland was the Nordic country with the highest score for safety and security in 2021 the Travel and Tourism Development Index, achieving *** out of the possible seven points. By contrast, Sweden got a score of less than *** points in that year.

The average for 2024 based on 11 countries was 5.24 index points. The highest value was in Burma (Myanmar): 9.3 index points and the lowest value was in Singapore: 0.2 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.

Purpose: The article examines specific factors of socio-economic development in the context of national security. The purpose of the current work is to identify the connections between selected indicators of socio-economic development and the level of national security, in the context of improving the quality of life for all citizens. Design/Methodology/Approach: The process of globalization has caused changes that manifest in various spheres of human life. One of the main positive aspects of the globalization process, which affects the quality of human life, is regional development. This can be measured using selected socio-economic indicators. Findings: Regional development is not the only factor that affects the quality of human life. Negative aspects of the socio-economic development process, such as illegal migration and the overall increase in crime, have made the issue of national security extremely relevant for every country. Practical Implications: One of the numerous aspects of national security that negatively affects the quality of human life, as well as the overall perception of the globalization process, is migration and the crimes committed by foreigners in certain countries. Originality/Value: Since the goal of socio-economic development is to improve the quality of human life, it is also necessary in this context to address the security issues of each citizen in a given country, which, overall, is a component of national security.

This selection includes data related to SPC member countries and territories for some of the indicators available in the original database published by the National Cyber Security Index (NCSI).

Find more Pacific data on PDH.stat.

Democratic Republic of the Congo: Security threats index, 0 (low) - 10 (high): The latest value from 2024 is 8.3 index points, a decline from 8.8 index points in 2023. In comparison, the world average is 4.87 index points, based on data from 176 countries. Historically, the average for Democratic Republic of the Congo from 2007 to 2024 is 9.22 index points. The minimum value, 8.3 index points, was reached in 2024 while the maximum of 10 index points was recorded in 2013.

Title: Top Cities Worldwide: Quality of Life Index 2024 Subtitle: Ranking the World's Best Cities for Living Based on Key Metrics

Source of Data: The dataset was collected from Numbeo.com, a publicly accessible database that provides data on various quality-of-life indicators across cities worldwide. Numbeo aggregates user-contributed data validated through statistical methods to ensure reliability.

Data Collection Method: Data was acquired through web scraping. Care was taken to follow ethical web scraping practices, adhering to Numbeo’s terms of service and respecting their robots.txt file.

Columns Description:

The dataset includes the following columns:

• Rank: City ranking based on the Quality of Life Index.
• City: Name of the city.
• Country: Country where the city is located.
• Quality of Life Index: Overall index measuring quality of life, calculated based on various sub-indices.
• Purchasing Power Index: Measures relative purchasing power in the city.
• Safety Index: Indicates how safe the city is based on crime rates.
• Health Care Index: Reflects the quality and accessibility of healthcare services.
• Cost of Living Index: Represents the cost of living, including housing, food, and transportation.
• Property Price to Income Ratio: A measure of housing affordability, calculated as the ratio of property prices to average incomes.
• Traffic Commute Time Index: Average time spent commuting within the city.

Limitations and Considerations:

• User-Generated Data: Since data on Numbeo is user-contributed, it may be subject to biases.
• Data Update Frequency: As Numbeo updates its data regularly, the dataset represents a snapshot in time and may require periodic updates.

Usage Note: The dataset is intended for research and analytical purposes. Users should verify the data's applicability for their specific use cases, considering the limitations mentioned above.

The Global Peace Index 2024 ranked 163 independent states and territories based on their level of peacefulness. In 2024, Argentina scored 1.86 out of 5 points, placing the country in the 47th position in the global rank, and in 1st place within Latin America and the Caribbean. Uruguay and Costa Rica were ranked 2nd and 3rd in the region with 1.89 and 1.95 points, respectively.

Quality of Life Index (higher is better) is an estimation of overall quality of life by using an empirical formula which takes into account purchasing power index (higher is better), pollution index (lower is better), house price to income ratio (lower is better), cost of living index (lower is better), safety index (higher is better), health care index (higher is better), traffic commute time index (lower is better) and climate index (higher is better).

Current formula (written in Java programming language):

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 10 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

For details how purchasing power (including rent) index, pollution index, property price to income ratios, cost of living index, safety index, climate index, health index and traffic index are calculated please look up their respective pages.

Formulas used in the past

Formula used between June 2017 and Decembar 2017

We decided to decrease weight from costOfLivingIndex in this formula:

index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 5 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for 2017 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.

Quality of life index, link: https://www.numbeo.com/quality-of-life/indices_explained.jsp

Happiness store, link: https://www.kaggle.com/unsdsn/world-happiness/home

In 2025, Brazil received a GPI score of ****, a slight decrease compared with the previous year. The score placed the South American country in the ***** position out of 163 countries included in the global ranking. Regionally, Brazil occupied one of the bottom places in the Latin American peace index ranking.

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

This item contains the Stable Seas Maritime Security Index Score at the country level (from https://www.stableseas.org/) joined to a country shapefile from Natural Earth (https://www.naturalearthdata.com/). Detailed information on how the scores were developed and calculated is available directly from Stable Seas at https://www.stableseas.org/maritime-security-index/code-book.