The average temperature in the contiguous United States reached 55.5 degrees Fahrenheit (13 degrees Celsius) in 2024, approximately 3.5 degrees Fahrenheit higher than the 20th-century average. These levels represented a record since measurements started in ****. Monthly average temperatures in the U.S. were also indicative of this trend. Temperatures and emissions are on the rise The rise in temperatures since 1975 is similar to the increase in carbon dioxide emissions in the U.S. Although CO₂ emissions in recent years were lower than when they peaked in 2007, they were still generally higher than levels recorded before 1990. Carbon dioxide is a greenhouse gas and is the main driver of climate change. Extreme weather Scientists worldwide have found links between the rise in temperatures and changing weather patterns. Extreme weather in the U.S. has resulted in natural disasters such as hurricanes and extreme heat waves becoming more likely. Economic damage caused by extreme temperatures in the U.S. has amounted to hundreds of billions of U.S. dollars over the past few decades.

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

Overall, cheese prices have slightly increased between 2013 and 2020 in France. The price of cheese from cheese shops has increased the most among all distribution channels. In 2020 in France, the average price of cheese in cheese shop was higher than the average price of cheese in general. The price of cheese in cheese shop was of ***** euro per kilogram, while the price of cheese in average amounted to **** euros.

1. The performance of ectotherms integrated over time depends in part on the position and shape of the distribution of body temperatures (Tb) experienced during activity. For several complementary reasons, physiological ecologists have long expected that Tb distributions during activity should have a long left tail (left-skewed); but only infrequently have they quantified the magnitude and direction of Tb skewness in nature.
2. To evaluate whether left-skewed Tb distributions are general for diurnal desert lizards, we compiled and analyzed Tb (∑ = 9,023 temperatures) from our own prior studies of active desert lizards on three continents (25 species in Western Australia, 10 in the Kalahari Desert of Africa, and 10 species in western North America). We gathered these data over several decades, using standardized techniques.
3. Many species showed significantly left-skewed Tb distributions, even when records were restricted to summer months. However, magnitudes of skewness were always small, such that mean Tb were never more than 1°C lower than median Tb. The significance of Tb skewness was sensitive to sample size, and power tests reinforced this sensitivity.
4. The magnitude of skewness was not obviously related to phylogeny, desert, body size, or median body temperature. Moreover, formal phylogenetic analysis is inappropriate because geography and phylogeny are confounded (that is, are highly collinear).
5. Skewness might be limited if lizards pre-warm inside retreats before emerging in the morning, emerge only when operative temperatures are high enough to speed warming to activity Tb, or if cold lizards are especially wary and difficult to spot or catch. Telemetry studies may help evaluate these possibilities.

In 2024, the average age of women was 45.2 years, and the average age of men was 42.7 years in Finland. That year, the average age of the whole population was 44 years. Women's average age remained nearly three years higher than men's average age throughout the period from 2014 to 2024.

According to a 2020 survey, the average American had access to more than *** connected devices in their household. People had access to more than *** computers on average and more than *** mobile phones in the evaluated period.

In 2023, Alaska recorded the highest annual average household income of public housing residents in the United States. The annual average income of government-subsidized housing in Alaska had an annual income of more than ****** U.S. dollars, much higher than the national average of ****** U.S. dollars. Additionally, California and New York were among the states where residents earned notably higher, both states exceeding ****** U.S. dollars. On the other end of the spectrum, Puerto Rico had the lowest average public household income, amounting to just ***** U.S. dollars.

The average age of women in Denmark is higher than that of men. As of January 1, 2024, the average age of Danish women was 43.3 years while the average age of men was 41.5 years. The average age of the population in Denmark has increased over the past 15 years.

Egypt Interbank Rate: Average: More than One Month data was reported at 16.800 % pa in Nov 2018. This records a decrease from the previous number of 16.912 % pa for Oct 2018. Egypt Interbank Rate: Average: More than One Month data is updated monthly, averaging 9.907 % pa from Jan 2001 (Median) to Nov 2018, with 162 observations. The data reached an all-time high of 19.492 % pa in Dec 2017 and a record low of 6.450 % pa in Jan 2003. Egypt Interbank Rate: Average: More than One Month data remains active status in CEIC and is reported by Central Bank of Egypt. The data is categorized under Global Database’s Egypt – Table EG.M007: Average Interbank Rate.

Latvia Average Retail Price: Beer Less Than 5.5 Percent data was reported at 1.910 EUR/l in 2017. This records an increase from the previous number of 1.900 EUR/l for 2016. Latvia Average Retail Price: Beer Less Than 5.5 Percent data is updated yearly, averaging 1.440 EUR/l from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 1.910 EUR/l in 2017 and a record low of 0.920 EUR/l in 2004. Latvia Average Retail Price: Beer Less Than 5.5 Percent data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.P001: Average Retail Price.

Korea Average: AH: More Than 60: Installment Balance data was reported at 550.000 KRW th in 2017. This records an increase from the previous number of 410.000 KRW th for 2016. Korea Average: AH: More Than 60: Installment Balance data is updated yearly, averaging 260.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 550.000 KRW th in 2017 and a record low of 170.000 KRW th in 2010. Korea Average: AH: More Than 60: Installment Balance data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

Annual descriptive price statistics for each calendar year 2005 – 2023 for 11 Local Government Districts in Northern Ireland. The statistics include: • Minimum sale price • Lower quartile sale price • Median sale price • Simple Mean sale price • Upper Quartile sale price • Maximum sale price • Number of verified sales Prices are available where at least 30 sales were recorded in the area within the calendar year which could be included in the regression model i.e. the following sales are excluded: • Non Arms-Length sales • sales of properties where the habitable space are less than 30m2 or greater than 1000m2 • sales less than £20,000. Annual median or simple mean prices should not be used to calculate the property price change over time. The quality (where quality refers to the combination of all characteristics of a residential property, both physical and locational) of the properties that are sold may differ from one time period to another. For example, sales in one quarter could be disproportionately skewed towards low-quality properties, therefore producing a biased estimate of average price. The median and simple mean prices are not ‘standardised’ and so the varying mix of properties sold in each quarter could give a false impression of the actual change in prices. In order to calculate the pure property price change over time it is necessary to compare like with like, and this can only be achieved if the ‘characteristics-mix’ of properties traded is standardised. To calculate pure property change over time please use the standardised prices in the NI House Price Index Detailed Statistics file.

Korea Average: AH: More Than 60: Disposable Income data was reported at 26,450.000 KRW th in 2017. This records an increase from the previous number of 26,080.000 KRW th for 2016. Korea Average: AH: More Than 60: Disposable Income data is updated yearly, averaging 22,455.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 26,450.000 KRW th in 2017 and a record low of 17,740.000 KRW th in 2010. Korea Average: AH: More Than 60: Disposable Income data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

Korea Average: AH: Less Than 30: Real Estate data was reported at 39,450.000 KRW th in 2017. This records an increase from the previous number of 26,630.000 KRW th for 2016. Korea Average: AH: Less Than 30: Real Estate data is updated yearly, averaging 27,930.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 39,450.000 KRW th in 2017 and a record low of 25,660.000 KRW th in 2015. Korea Average: AH: Less Than 30: Real Estate data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

Korea Average: AH: More Than 5 Persons: Holdings Of Debts data was reported at 85,580.000 KRW th in 2017. This records a decrease from the previous number of 90,370.000 KRW th for 2016. Korea Average: AH: More Than 5 Persons: Holdings Of Debts data is updated yearly, averaging 71,355.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 90,370.000 KRW th in 2016 and a record low of 56,340.000 KRW th in 2010. Korea Average: AH: More Than 5 Persons: Holdings Of Debts data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H076: SHFLC: Household Assets, Liabilities & Income By The Number of Household Members.

Korea Average: AH: More Than 60: Holdings Of Debts data was reported at 29,180.000 KRW th in 2017. This records an increase from the previous number of 27,680.000 KRW th for 2016. Korea Average: AH: More Than 60: Holdings Of Debts data is updated yearly, averaging 23,330.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 29,180.000 KRW th in 2017 and a record low of 19,540.000 KRW th in 2012. Korea Average: AH: More Than 60: Holdings Of Debts data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

Korea Average: AH: Less Than 30: Total Assets data was reported at 97,810.000 KRW th in 2017. This records an increase from the previous number of 87,500.000 KRW th for 2016. Korea Average: AH: Less Than 30: Total Assets data is updated yearly, averaging 87,635.000 KRW th from Mar 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 97,810.000 KRW th in 2017 and a record low of 75,680.000 KRW th in 2010. Korea Average: AH: Less Than 30: Total Assets data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

Average: AH: Less Than 30: Outstanding On Korean Private Fund data was reported at 30.000 KRW th in 2017. This records an increase from the previous number of 0.000 KRW th for 2016. Average: AH: Less Than 30: Outstanding On Korean Private Fund data is updated yearly, averaging 10.000 KRW th from Mar 2010 (Median) to 2017, with 7 observations. The data reached an all-time high of 30.000 KRW th in 2017 and a record low of 0.000 KRW th in 2016. Average: AH: Less Than 30: Outstanding On Korean Private Fund data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H078: SHFLC: Household Assets, Liabilities & Income By Age Groups of Households Head (10Age).

This table contains 1536 series, with data for years 2009 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Canada; Atlantic provinces; Quebec; Ontario; ...) Farm type (12 items: Total, all farms; Grain and oilseed farms; Potato farms; Other vegetable and melon farms; ...) Financial structure (16 items: Number of farms; Total assets; Current assets; Long-term assets; ...).

Statistical differences were tested by ANOVA following Bonferroni correction (P<0.05).