Inflation Rate in Ghana decreased to 13.70 percent in June from 18.40 percent in May of 2025. This dataset provides - Ghana Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In economics, the inflation rate is a measure of the change in price of a basket of goods. The most common measure being the consumer price index. It is the percentage rate of change in price level over time, and also indicates the rate of decrease in the purchasing power of money. The annual rate of inflation for 2023, was 4.1 percent higher in the United States when compared to the previous year. More information on inflation and the consumer price index can be found on our dedicated topic page. Additionally, the monthly rate of inflation in the United States can be accessed here. Inflation and purchasing power Inflation is a key economic indicator, and gives economists and consumers alike a look at changes in prices in the wider economy. For example, if an average pair of socks costs 100 dollars one year and 105 dollars the following year, the inflation rate is five percent. This means the amount of goods an individual can purchase with a unit of currency has decreased. This concept is often referred to as purchasing power. The data presents the average rate of inflation in a year, whereas the monthly measure of inflation measures the change in prices compared with prices one year ago. For example, monthly inflation in the U.S. reached a peak in June 2022 at 9.1 percent. This means that prices were 9.1 percent higher than they were in June of 2021. The purchasing power is the extent to which a person has available funds to make purchases. The Big Mac Index has been published by The Economist since 1986 and exemplifies purchasing power on a global scale, allowing us to see note the differences between different countries currencies. Switzerland for example, has the most expensive Big Mac in the world, costing consumers 6.71 U.S. dollars as of July 2022, whereas a Big Mac cost 5.15 dollars in the United States, and 4.77 dollars in the Euro area. One of the most important tools in influencing the rate of inflation is interest rates. The Federal Reserve of the United States has the capacity to make changes to the federal interest rate . Changes to the rate of inflation are thought to be an imbalance between supply and demand. After COVID-19 related lockdowns came to an end there was a sudden increase in demand for goods and services with consumers having more funds than usual thanks to reduced spending during lockdown and government funded economic support. Additionally, supply-chain related bottlenecks also due to lockdowns around the world and the Russian invasion of Ukraine meant that there was a decrease in the supply of goods and services. By increasing the interest rate, the Federal Reserve aims to reduce spending, and thus bring demand back into balance with supply.

This dataset includes biological, chemical, discrete sample, physical and profile data collected from DISCOVERY in the North Atlantic Ocean from 1998-04-23 to 1998-06-01. These data include CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-12 (CFC-12), CHLOROPHYLL A, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, PHAEOPHYTIN, Potential temperature (theta), SALINITY, TOTAL ALKALINITY (TA), WATER TEMPERATURE, pH, phosphate and silicate. The instruments used to collect these data include CTD and bottle. These data were collected by Iris S. Aristegui of Institute of Marine Research Vigo (IIM), Denise Smythe-Wright of Southampton Oceanography Centre, and Marta à lvarez of Spanish Institute of Oceanography (IEO) as part of the CARINA/74DI19980423, WOCE A16N/AR21 dataset. CDIAC associated the following cruise ID(s) with this dataset: CARINA/74DI19980423 The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

This dataset includes discrete sample and profile data collected from POLARSTERN in the South Atlantic Ocean and Southern Oceans (> 60 degrees South) from 1998-03-28 to 1998-05-23. These data include CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), DELTA HELIUM-3, DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NEON, NITRATE, NITRITE, Potential temperature (theta), SALINITY, Tritium (Hydrogen isotope), WATER TEMPERATURE, phosphate and silicate. The instruments used to collect these data include CTD and bottle. These data were collected by Eberhard Fahrbach, Mario Hoppema, and Richard G. J. Bellerby of Alfred Wegener Institute for Polar and Marine Research (AWI) as part of the CARINA_06AQ19980328 dataset. CDIAC associated the following cruise ID(s) with this dataset: (06AQANTXV_4) and 06AQ19980328 The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

NODC Accession 0113536 includes biological, chemical, discrete sample, physical and profile data collected from DISCOVERY in the North Atlantic Ocean from 1998-04-23 to 1998-06-01 and retrieved during cruise CARINA/74DI19980423. These data include ALKALINITY, CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-12 (CFC-12), CHLOROPHYLL A, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, PHAEOPHYTIN, PHOSPHATE, Potential temperature (theta), SALINITY, SILICATE, WATER TEMPERATURE and pH. The instruments used to collect these data include CTD and bottle. These data were collected by M. Alvarez and I.S. Aristegui of Commonwealth Scientific and Industrial Research Organization and D. Smythe-Wright [affiliation unknown] as part of the CARINA/74DI19980423, WOCE A16N/AR21 data set.

The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent data set of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

Inflation in Argentina was 54 percent in 2019, before falling to 42 percent in 2020. Despite Argentina's fluctuating economic instability over the twentieth century, the largest factor in its current economic status is the legacy of poor fiscal discipline left by the economic depression from 1998 to 2002. Although data is not available from 2014 to 2016, Argentina's inflation rate has been among the highest in the world for the past five years.

What causes inflation?

Inflation is a rise in price levels for all goods. Major causes of inflation include an increase in money supply, low central bank interest rates, and expectation of inflation. In a country such as Argentina, the expectation can be one of the biggest obstacles. People expect inflation to be high and demand increasing wages, and firms continue raising prices because they expect the costs of inputs to increase. Banks follow suit, charging high interest rates on fixed deposits.

Effects of inflation

Inflation negatively affects savers. 100 Argentinian pesos in 2018 was worth just under 75 pesos in 2019, after adjusting for the 34 percent inflation rate. Similarly, frequently changing prices has its own inherent cost, called “menu cost” after the price of printing new menus. Inflation will also have a positive effect on national debt when that debt is denominated in Argentinian pesos, because the pesos will be cheaper when the loan matures. However, the majority of Argentina’s debts are in foreign currency, which means that inflation will make these debts larger in peso terms.

This dataset includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1998-08-01 to 1998-08-23 and retrieved during cruise CARINA/58JH19980801. These data include ALKALINITY, CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), Carbon tetrachloride (CCL4), DELTA HELIUM-3, DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NITRATE, NITRITE, PHOSPHATE, Potential temperature (theta), SALINITY, SILICATE, TRITIUM, WATER TEMPERATURE and pH. The instruments used to collect these data include CTD and bottle. These data were collected by Truls Johannessen of Bjerknes Centre for Climate Research, Francisco Rey of Institute of Marine Research - Norway (IMR), and Leif G. Anderson of University of Gothenburg (GU) as part of the CARINA/58JH19980801 dataset. The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

NODC Accession 0113758 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1998-08-01 to 1998-08-23 and retrieved during cruise CARINA/58JH19980801. These data include ALKALINITY, CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), Carbon tetrachloride (CCL4), DELTA HELIUM-3, DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NITRATE, NITRITE, PHOSPHATE, Potential temperature (theta), SALINITY, SILICATE, TRITIUM, WATER TEMPERATURE and pH. The instruments used to collect these data include CTD and bottle. These data were collected by Leif Anderson of Gothenburg University; Department of Analytical and Marine Chemistry, Truls Johannessen of University of Bergen; Bjerknes Center for Climate Research; Geophysical Institute and F. Rey [affiliation unknown] as part of the CARINA/58JH19980801 data set.

The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent data set of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

The USD/IDR exchange rate rose to 16,291.4000 on July 23, 2025, up 0.21% from the previous session. Over the past month, the Indonesian Rupiah has strengthened 0.03%, but it's down by 0.23% over the last 12 months. Indonesian Rupiah - values, historical data, forecasts and news - updated on July of 2025.

The latest closing stock price for ICON as of July 10, 2025 is 152.07. An investor who bought $1,000 worth of ICON stock at the IPO in 1998 would have $22,913 today, roughly 23 times their original investment - a 12.48% compound annual growth rate over 27 years. The all-time high ICON stock closing price was 346.20 on July 16, 2024. The ICON 52-week high stock price is 347.72, which is 128.7% above the current share price. The ICON 52-week low stock price is 125.10, which is 17.7% below the current share price. The average ICON stock price for the last 52 weeks is 216.48. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

The extent and intensity of two large-scale (>2,000 km) bleaching events on the Great Barrier Reef in 1998 and 2002 were visually assessed by aerial survey.Out of approximately 2900 reefs in the GBR, the aerial survey covered 641 reefs in 2002 (3-20 March) and 654 reefs in 1998 (9 March to 10 April). Note that the same reefs were not necessarily sampled in both years.There was a difference in the way bleaching category labels were recorded between the two years though the amount of bleaching remained the same.Bleaching categories used in 2002 were:0 (60% bleached).Bleaching categories originally used in 1998 (as referred to in the 2001 paper) were:1 (Extreme >60%), 2 (Very High 30-60%) 3 (High 10-30%), 4 (moderate 1-10%), 5 (Low In the dataset the 1998 values have been modified to match the 2002 values. Therefore data in the e-Atlas are now consistent with one another.The 1998 and 2002 satellite SST data which were used to correlate with bleaching observations were aligned by applying an offset based on weather station data. This alignment was because different AVHRR satellites were used for 1998 and 2002 which had different calibrations.Satellite derived SST variables (maximum temperature, days above threshold, degree-days above threshold, spatial adjustment of temperatures by long-term average) were investigated to see which variable correlated best with bleaching intensity. Max3d (the maximum SST occurring over any 3-day period) was the best predictor of the presence or absence of bleaching. SST data period covers 20 December to 7 March in both 1998 and 2002.Geographical range cover the whole Great Barrier Reef: inshore (fringing reefs around islands and isolated reefs close to the mainland) and offshore (located on the mid- and outer-shelf); and regions (northern, central and southern). To determine scale and intensity of coral bleaching on the Great Barrier Reef and its relationship to SST variables. Modelling using nearest-neighbour-analyses was then used to predict bleaching status for all GBR reefs.In 1998, ground-truth surveys carried out on 23 reefs (11°S-18°S) indicated that aerial survey data are likely to be underestimates.In 2002, temperature data was collected using an in situ data logger (Magnetic Island) and weather station (Davies Reef). Field observations of bleaching were also recorded at both these sites.The category labels from 1998 were changed to correspond to 2002 labels.160 m was the flying height for aerial surveys in both years.Thumbnail images are of coral bleaching from the air and below water at Halfway Island in the Keppel Group.Data have been used for the e-Atlas:http://e-atlas.org.au/content/coral-mass-bleaching-extent-1998http://e-atlas.org.au/content/coral-mass-bleaching-extent-2002

The purpose of this study was to provide a large-scale documentation of the extent of bleaching, for comparison against SST and other bleaching events.

The data record the large-scale bleaching event on the GBR in 1998, mapped by aerial survey method. Surveys were conducted at a flying height of 160 m and covered a total of 654 reefs. Data are estimated bleaching status of whole reefs, conducted by one experienced observer (RB). The surveys were conducted soon after the hottest period was over, a compromise between ensuring that bleaching on reefs was as advanced as possible but before major mortality had set in. Approximately 42% of reefs bleached to some extent in 1998, with ~18% strongly bleached.

Aerial surveys of the 2002 large-scale (2,000 km) bleaching event on the GBR. Surveys were conducted at a flying height of 160 m over 11 days between 3 March and 20 March 2002 and covered a total of 641 reefs. Data are bleaching status of whole reefs. The surveys were conducted soon after the hottest period was over, a compromise between ensuring that bleaching on reefs was as advanced but before major mortality had set in.

The data allowed to compare GBR-wide spatial patterns of bleaching between 1998 and 2002. In both events, more inshore than offshore reefs bleached. In 2002, ~54% of reefs bleached to some extent with 18% strongly bleached (compared with ~42% of reefs bleached to some extent in 1998 with ~18% strongly bleached). These statistics and the fact that nearly twice as many offshore reefs bleached in 2002 compared to 1998 (41 vs. 21%, respectively) makes the 2002 event the worst bleaching event on record for the GBR.

The data is presented with five-point rating: 5 (<1% bleached) 4 (1¿10% bleached) 3 (10¿30% bleached) 2 (30¿60% bleached) 1 (>60% bleached).

As part of the Reef Atlas project (now the eAtlas) the bleaching observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit. This produced a gridded version of the dataset and is available as a KML.

Data format:

As part of the Reef Atlas project (now the eAtlas) the bleaching observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models with a Quasibinomial fit. This produced a gridded version of the dataset and is available as a KML.

Also available is the original bleaching observation data as a shapefile.

References: - Berkelmans R, De¿ath G, Kininmonth S, Skirving WJ (2004) A comparison of the 1998 and 2002 coral bleaching events on the Great Barrier Reef: spatial correlation, patterns, and predictions. Coral Reefs 23: 74¿83

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\MTSRF\GBR_MTSRF-1-1-5_AIMS_Death-G_e-Atlas-maps-code\geomap\reef-data-eric\Coral_Bleaching

The USD/ISK exchange rate rose to 121.1900 on July 23, 2025, up 0.03% from the previous session. Over the past month, the Icelandic Krona has strengthened 0.79%, and is up by 12.14% over the last 12 months. Icelandic Krona - values, historical data, forecasts and news - updated on July of 2025.

The second National Family Health Survey (NFHS-2), conducted in 1998-99, provides information on fertility, mortality, family planning, and important aspects of nutrition, health, and health care. The International Institute for Population Sciences (IIPS) coordinated the survey, which collected information from a nationally representative sample of more than 90,000 ever-married women age 15-49. The NFHS-2 sample covers 99 percent of India's population living in all 26 states. This report is based on the survey data for 25 of the 26 states, however, since data collection in Tripura was delayed due to local problems in the state. IIPS also coordinated the first National Family Health Survey (NFHS-1) in 1992-93. Most of the types of information collected in NFHS-2 were also collected in the earlier survey, making it possible to identify trends over the intervening period of six and one-half years. In addition, the NFHS-2 questionnaire covered a number of new or expanded topics with important policy implications, such as reproductive health, women's autonomy, domestic violence, women's nutrition, anaemia, and salt iodization. The NFHS-2 survey was carried out in two phases. Ten states were surveyed in the first phase which began in November 1998 and the remaining states (except Tripura) were surveyed in the second phase which began in March 1999. The field staff collected information from 91,196 households in these 25 states and interviewed 89,199 eligible women in these households. In addition, the survey collected information on 32,393 children born in the three years preceding the survey. One health investigator on each survey team measured the height and weight of eligible women and children and took blood samples to assess the prevalence of anaemia. SUMMARY OF FINDINGS POPULATION CHARACTERISTICS Three-quarters (73 percent) of the population lives in rural areas. The age distribution is typical of populations that have recently experienced a fertility decline, with relatively low proportions in the younger and older age groups. Thirty-six percent of the population is below age 15, and 5 percent is age 65 and above. The sex ratio is 957 females for every 1,000 males in rural areas but only 928 females for every 1,000 males in urban areas, suggesting that more men than women have migrated to urban areas. The survey provides a variety of demographic and socioeconomic background information. In the country as a whole, 82 percent of household heads are Hindu, 12 percent are Muslim, 3 percent are Christian, and 2 percent are Sikh. Muslims live disproportionately in urban areas, where they comprise 15 percent of household heads. Nineteen percent of household heads belong to scheduled castes, 9 percent belong to scheduled tribes, and 32 percent belong to other backward classes (OBCs). Two-fifths of household heads do not belong to any of these groups. Questions about housing conditions and the standard of living of households indicate some improvements since the time of NFHS-1. Sixty percent of households in India now have electricity and 39 percent have piped drinking water compared with 51 percent and 33 percent, respectively, at the time of NFHS-1. Sixty-four percent of households have no toilet facility compared with 70 percent at the time of NFHS-1. About three-fourths (75 percent) of males and half (51 percent) of females age six and above are literate, an increase of 6-8 percentage points from literacy rates at the time of NFHS-1. The percentage of illiterate males varies from 6-7 percent in Mizoram and Kerala to 37 percent in Bihar and the percentage of illiterate females varies from 11 percent in Mizoram and 15 percent in Kerala to 65 percent in Bihar. Seventy-nine percent of children age 6-14 are attending school, up from 68 percent in NFHS-1. The proportion of children attending school has increased for all ages, particularly for girls, but girls continue to lag behind boys in school attendance. Moreover, the disparity in school attendance by sex grows with increasing age of children. At age 6-10, 85 percent of boys attend school compared with 78 percent of girls. By age 15-17, 58 percent of boys attend school compared with 40 percent of girls. The percentage of girls 6-17 attending school varies from 51 percent in Bihar and 56 percent in Rajasthan to over 90 percent in Himachal Pradesh and Kerala. Women in India tend to marry at an early age. Thirty-four percent of women age 15-19 are already married including 4 percent who are married but gauna has yet to be performed. These proportions are even higher in the rural areas. Older women are more likely than younger women to have married at an early age: 39 percent of women currently age 45-49 married before age 15 compared with 14 percent of women currently age 15-19. Although this indicates that the proportion of women who marry young is declining rapidly, half the women even in the age group 20-24 have married before reaching the legal minimum age of 18 years. On average, women are five years younger than the men they marry. The median age at marriage varies from about 15 years in Madhya Pradesh, Bihar, Uttar Pradesh, Rajasthan, and Andhra Pradesh to 23 years in Goa. As part of an increasing emphasis on gender issues, NFHS-2 asked women about their participation in household decisionmaking. In India, 91 percent of women are involved in decision-making on at least one of four selected topics. A much lower proportion (52 percent), however, are involved in making decisions about their own health care. There are large variations among states in India with regard to women's involvement in household decisionmaking. More than three out of four women are involved in decisions about their own health care in Himachal Pradesh, Meghalaya, and Punjab compared with about two out of five or less in Madhya Pradesh, Orissa, and Rajasthan. Thirty-nine percent of women do work other than housework, and more than two-thirds of these women work for cash. Only 41 percent of women who earn cash can decide independently how to spend the money that they earn. Forty-three percent of working women report that their earnings constitute at least half of total family earnings, including 18 percent who report that the family is entirely dependent on their earnings. Women's work-participation rates vary from 9 percent in Punjab and 13 percent in Haryana to 60-70 percent in Manipur, Nagaland, and Arunachal Pradesh. FERTILITY AND FAMILY PLANNING Fertility continues to decline in India. At current fertility levels, women will have an average of 2.9 children each throughout their childbearing years. The total fertility rate (TFR) is down from 3.4 children per woman at the time of NFHS-1, but is still well above the replacement level of just over two children per woman. There are large variations in fertility among the states in India. Goa and Kerala have attained below replacement level fertility and Karnataka, Himachal Pradesh, Tamil Nadu, and Punjab are at or close to replacement level fertility. By contrast, fertility is 3.3 or more children per woman in Meghalaya, Uttar Pradesh, Rajasthan, Nagaland, Bihar, and Madhya Pradesh. More than one-third to less than half of all births in these latter states are fourth or higher-order births compared with 7-9 percent of births in Kerala, Goa, and Tamil Nadu. Efforts to encourage the trend towards lower fertility might usefully focus on groups within the population that have higher fertility than average. In India, rural women and women from scheduled tribes and scheduled castes have somewhat higher fertility than other women, but fertility is particularly high for illiterate women, poor women, and Muslim women. Another striking feature is the high level of childbearing among young women. More than half of women age 20-49 had their first birth before reaching age 20, and women age 15-19 account for almost one-fifth of total fertility. Studies in India and elsewhere have shown that health and mortality risks increase when women give birth at such young ages?both for the women themselves and for their children. Family planning programmes focusing on women in this age group could make a significant impact on maternal and child health and help to reduce fertility. INFANT AND CHILD MORTALITY NFHS-2 provides estimates of infant and child mortality and examines factors associated with the survival of young children. During the five years preceding the survey, the infant mortality rate was 68 deaths at age 0-11 months per 1,000 live births, substantially lower than 79 per 1,000 in the five years preceding the NFHS-1 survey. The child mortality rate, 29 deaths at age 1-4 years per 1,000 children reaching age one, also declined from the corresponding rate of 33 per 1,000 in NFHS-1. Ninety-five children out of 1,000 born do not live to age five years. Expressed differently, 1 in 15 children die in the first year of life, and 1 in 11 die before reaching age five. Child-survival programmes might usefully focus on specific groups of children with particularly high infant and child mortality rates, such as children who live in rural areas, children whose mothers are illiterate, children belonging to scheduled castes or scheduled tribes, and children from poor households. Infant mortality rates are more than two and one-half times as high for women who did not receive any of the recommended types of maternity related medical care than for mothers who did receive all recommended types of care. HEALTH, HEALTH CARE, AND NUTRITION Promotion of maternal and child health has been one of the most important components of the Family Welfare Programme of the Government of India. One goal is for each pregnant woman to receive at least three antenatal check-ups plus two tetanus toxoid injections and a full course of iron and folic acid supplementation. In India, mothers of 65 percent of the children born in the three years preceding NFHS-2 received at least one antenatal

In 2024, the retail price of electricity for residential customers in the United States averaged 16.48 U.S. cents per kilowatt-hour. Households are charged more than the commercial and industrial sectors, because of the higher distribution costs. Since 2020, electricity customers have seen electricity prices increase in the U.S. and peak in 2024. The U.S. electricity market The U.S. electricity market is led by several types of electricity providers, such as cooperatives, municipal systems, and shareholder-owned electric utilities. In 2022, cooperatives were the most common type of ownership in the U.S., with more than 600 providers. That year, the U.S. electric utility industry revenue amounted to 488 billion U.S. dollars. Electricity prices around the world Electricity prices vary widely from country to country, depending on energy sources used, as well as government and industry subsidies and regulations. In 2023, Ireland and the United Kingdom had some of the highest household electricity prices worldwide. Meanwhile, U.S. households paid some of the lowest prices. However, leading oil and gas-producing regions such as the Middle East registered the cheapest rates overall.

This dataset includes discrete sample and profile data collected from POLARSTERN in the South Atlantic Ocean and Southern Oceans (> 60 degrees South) from 1998-03-28 to 1998-05-23. These data include CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), DELTA HELIUM-3, DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NEON, NITRATE, NITRITE, Potential temperature (theta), SALINITY, Tritium (Hydrogen isotope), WATER TEMPERATURE, phosphate and silicate. The instruments used to collect these data include CTD and bottle. These data were collected by Eberhard Fahrbach, Mario Hoppema, and Richard G. J. Bellerby of Alfred Wegener Institute for Polar and Marine Research (AWI) as part of the CARINA_06AQ19980328 dataset. CDIAC associated the following cruise ID(s) with this dataset: (06AQANTXV_4) and 06AQ19980328 The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

Colombian Mild Arabicas remained the most expensive coffee per pound in 2019, though the trend has seen the price plummet from a 2011 high of **** dollars to **** dollars in 2019. Arabicas of all varieties commanded higher dollar values than their Robusta cousins. Arabica and Robusta differences Arabica and Robusta are the two most popular coffee varieties in the world. There are several important differences between the coffees. Robusta is originally from sub-Saharan Africa and is now primarily grown in Africa and Indonesia. Arabica, on the other hand, originated in the Ethiopian highlands and is now typically grown in South America and Africa. Another notable difference between the varieties is their amount of caffeine. Robusta contains nearly double the amount of caffeine of Arabica. Robusta also tolerates a wider range of climate conditions and produces a greater yield per hectare than Arabica. These are two factors which contribute to Arabica’s higher price. Production and consumption Due to its demand, over *** million 60-kilogram bags of Arabica were produced worldwide in 2020. The less popular Robusta had a total production of ***** million 60-kilogram bags in the same year. Both varieties support the continually growing rate of coffee consumption. In 2020, ****** million 60-kilogram bags of coffee were consumed worldwide.

In 2022, the median age for the first wedding among women in the United States stood at 28.6 years. For men, the median age was 30.5 years. The median age of Americans at their first wedding has been steadily increasing for both men and women since 1998.

Unemployment Rate in Greece decreased to 7.90 percent in May from 8.30 percent in April of 2025. This dataset provides the latest reported value for - Greece Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Indonesia increased to 1.87 percent in June from 1.60 percent in May of 2025. This dataset provides - Indonesia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.