Over the period 2007-2011, life expectancy at birth was 78.5 years for the total population in New Mexico, 75.8 years for males, and 81.3 years for females.For comparison, in 2011, life expectancy at birth was 78.7 years for the total U.S. population, 76.3 years for males, and 81.1 years for females. (http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6335a8.htm?s_cid=mm6335a8_e )PLEASE NOTE: The data in this map corrects, updates and replaces life expectancy data included in the 2012 Bernalillo County Place Matters 'Community Health Equity Report'. Compare life expectancy in Europe and the USA - Map ImageNOTE: Changes in life expectancy (Increase, Decrease, No Change) over the periods 1999-2003 to 2007-2011 are tested for statistical significance using a rule of one standard deviation.

Life Expectancy at Birth, Small Areas, by Sex, 1999-2003 and 2007-2011 - LEBSASEX

Summary: Life Expectancy at Birth, Small Areas, by Sex, 1999-2003 and 2007-2011

Prepared by: NEW MEXICO COMMUNITY DATA COLLABORATIVE, http://nmcdc.maps.arcgis.com/home/index.html ; T Scharmen, thomas.scharmen@state.nm.us, 505-897-5700 x126,

Data Sources: New Mexico Death Certificate Database, Office of Vital Records and Statistics, New Mexico Department of Health; Population Estimates: University of New Mexico, Geospatial and Population Studies (GPS) Program, http://bber.unm.edu/bber_research_demPop.html. Retrieved Mon, 21 June 2014 from New Mexico Department of Health, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.nm.us

Shapefile: http://nmcdc.maps.arcgis.com/home/item.html?id=1e97d2715d8640ab9023fa35fc7b2634

Feature: http://nmcdc.maps.arcgis.com/home/item.html?id=3104749c2c094044914abf9ba6953eab

Master File:

NM DATA VARIABLE DEFINITION

999 SANO Small Area Number

NEW MEXICO SANAME Small Area Name

9250534 PB9903 Population at Risk, Both Sexes, 1999-2003

77.7 LEB9903 Life Expectancy at Birth, Both Sexes, 1999-2003

77.7 CILB9903 Lower Confidence Interval for Life Expectancy at Birth, Both Sexes, 1999-2003

77.7 CIUB9903 Upper Confidence Interval for Life Expectancy at Birth, Both Sexes, 1999-2003

10188104 PB0711 Population at Risk, Both Sexes, 2007-2011

78.5 LEB0711 Life Expectancy at Birth, Both Sexes, 2007-2011

78.5 CILB0711 Lower Confidence Interval for Life Expectancy at Birth, Both Sexes, 2007-2011

78.5 CIUB0711 Upper Confidence Interval for Life Expectancy at Birth, Both Sexes, 2007-2011

0.8 LEBDIFF Difference in Life Expectancy, Both Sexes, 2007-2011 MINUS 1999-2003

INCREASE LEBSIG Trend of the Difference in Life Expectancy, Both Sexes, (1 standard deviation = 68.2% confidence interval)

4683013 PF9903 Population at Risk, Females, 1999-2003

80.6 LEF9903 Life Expectancy at Birth, Females, 1999-2003

80.6 CILF9903 Lower Confidence Interval for Life Expectancy at Birth, Females, 1999-2003

80.6 CIUF9903 Upper Confidence Interval for Life Expectancy at Birth, Females, 1999-2003

5155192 PF0711 Population at Risk, Females, 2007-2011

81.3 LEF0711 Life Expectancy at Birth, Females, 2007-2011

81.3 CILF0711 Lower Confidence Interval for Life Expectancy at Birth, Females, 2007-2011

81.3 CIUF0711 Upper Confidence Interval for Life Expectancy at Birth, Females, 2007-2011

0.7 LEFDIFF Difference in Life Expectancy, Females, 2007-2011 MINUS 1999-2003

INCREASE LEFSIG Trend of the Difference in Life Expectancy, Females, (1 standard deviation = 68.2% confidence interval)

4567521 PM9903 Population at Risk, Males, 1999-2003

74.8 LEM9903 Life Expectancy at Birth, Males, 1999-2003

74.8 CILM9903 Lower Confidence Interval for Life Expectancy at Birth, Males, 1999-2003

74.8 CIUM9903 Upper Confidence Interval for Life Expectancy at Birth, Males, 1999-2003

5032911 PM0711 Population at Risk, Males, 2007-2011

75.8 LEM0711 Life Expectancy at Birth, Males, 2007-2011

75.7 CILM0711 Lower Confidence Interval for Life Expectancy at Birth, Males, 2007-2011

75.8 CIUM0711 Upper Confidence Interval for Life Expectancy at Birth, Males, 2007-2011

1 LEMDIFF Difference in Life Expectancy, Males, 2007-2011 MINUS 1999-2003

INCREASE LEMSIG Trend of the Difference in Life Expectancy, Males, (1 standard deviation = 68.2% confidence interval)

1.077540107 FMRT9903 Female to Male Ratio of Life Expectancy, 1999-2003

1.072559367 FMRT0711 Female to Male Ratio of Life Expectancy, 2007-2011

5.8 FMDT9903 Female Life Expectancy MINUS Male Life Expectancy, 1999-2003

5.5 FMDT0711 Female Life Expectancy MINUS Male Life Expectancy, 2007-2011

-0.3 FMDTDIFF Difference in Female Life Expectancy MINUS Male Life Expectancy, over both time periods, in Years

this graphs was created in Ourdataworld,Tableu and PowerBi:

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Introduction:

Understanding gender disparities in labor force participation is essential for shaping inclusive economic policies worldwide. Across regions and countries, significant variations exist, highlighting the complex interplay of cultural, social, and economic factors. This analysis delves into the intricacies of women's labor force participation, utilizing data from the International Labor Organization (ILO) to elucidate trends and disparities on a global scale.

Global Overview:

Globally, approximately half of women are part of the labor force, although significant variations exist across regions. While many regions surpass the global average, such as Europe and North America, others, notably the Middle East, North Africa, and South Asia, exhibit substantially lower participation rates. Men generally participate more frequently in labor markets than women, illustrating pervasive gender disparities in workforce engagement.

Regional Disparities:

Examining regional disparities reveals nuanced patterns. In Europe and North America, women's participation rates often exceed global averages, reflecting advancements in gender equality and inclusive labor policies. Conversely, regions like the Middle East, North Africa, and South Asia lag behind, hindered by cultural norms, limited educational opportunities, and restrictive gender roles.

Mapping Gender Disparities:

Visualizing gender disparities through a global map provides insights into country-level variations. The female-to-male ratio in labor force participation rates illustrates the extent of gender gaps across nations. Data from the ILO, which harmonizes diverse sources for enhanced comparability, reveal stark contrasts. While most countries exhibit ratios below 100%, indicating lower female participation, disparities range from below 25% to parity or even a slight female predominance in some instances.

Key Factors Influencing Gender Disparities:

Education: Disparities in educational attainment significantly influence women's participation in the labor force. Access to quality education empowers women economically, leading to higher workforce engagement.

Legal Frameworks: Gender-sensitive legislation and policies promoting equal opportunities are crucial for narrowing labor force disparities. Ensuring legal protections against discrimination and providing support for work-life balance can enhance women's workforce participation.

Cultural Norms: Societal attitudes towards women's roles and responsibilities shape labor force dynamics. Challenging traditional gender norms and fostering inclusive workplaces are essential for creating environments conducive to women's employment.

Economic Development: The level of economic development and access to employment opportunities profoundly impact women's labor force participation. Investment in infrastructure, vocational training, and entrepreneurship programs can enhance women's economic empowerment and workforce integration.

Policy Implications:

Addressing gender disparities in labor force participation requires a multifaceted approach encompassing policy reforms, social interventions, and cultural transformations. Governments, businesses, and civil society must collaborate to enact inclusive policies that promote gender equality, expand educational opportunities, and create supportive work environments. Empowering women economically not only enhances individual livelihoods but also fosters sustainable development and prosperity for societies as a whole.

Conclusion:

Analyzing global gender disparities in labor force participation underscores the imperative of advancing gender equality in economic spheres. By addressing systemic barriers and fostering inclusive policies, societies can harness the full potential of women as active contributors to workforce development and economic growth. Embracing diversity and promoting gender parity are essential steps towards building more equitable and prosperous societies worldwide.

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.

In a global survey conducted in 2023, ***** percent of respondents from 30 countries identified themselves as transgender, non-binary/non-conforming/gender-fluid, or in another way. In Switzerland, around *** percent of the respondents stated to identify themselves with one of the listed genders.