Graph and download economic data for Labor Force Participation Rate - Foreign Born (LNU01373395) from Jan 2007 to May 2025 about foreign, participation, civilian, 16 years +, labor force, labor, household survey, rate, and USA.

From 2003 to 2025, the central banks of the United States, United Kingdom, and European Union exhibited remarkably similar interest rate patterns, reflecting shared global economic conditions. In the early 2000s, rates were initially low to stimulate growth, then increased as economies showed signs of overheating prior to 2008. The financial crisis that year prompted sharp rate cuts to near-zero levels, which persisted for an extended period to support economic recovery. The COVID-19 pandemic in 2020 led to further rate reductions to historic lows, aiming to mitigate economic fallout. However, surging inflation in 2022 triggered a dramatic policy shift, with the Federal Reserve, Bank of England, and European Central Bank significantly raising rates to curb price pressures. As inflation stabilized in late 2023 and early 2024, the ECB and Bank of England initiated rate cuts by mid-2024, and the Federal Reserve also implemented its first cut in three years, with forecasts suggesting a gradual decrease in all major interest rates between 2025 and 2026. Divergent approaches within the European Union While the ECB sets a benchmark rate for the Eurozone, individual EU countries have adopted diverse strategies to address their unique economic circumstances. For instance, Hungary set the highest rate in the EU at 13 percent in September 2023, gradually reducing it to 6.5 percent by October 2024. In contrast, Sweden implemented more aggressive cuts, lowering its rate to 2.25 percent by February 2025, the lowest among EU members. These variations highlight the complex economic landscape that European central banks must navigate, balancing inflation control with economic growth support. Global context and future outlook The interest rate changes in major economies have had far-reaching effects on global financial markets. Government bond yields, for example, reflect these policy shifts and investor sentiment. As of December 2024, the United States had the highest 10-year government bond yield among developed economies at 4.59 percent, while Switzerland had the lowest at 0.27 percent. These rates serve as important benchmarks for borrowing costs and economic expectations worldwide.

Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.

Graph and download economic data for 30-Year High Quality Market (HQM) Corporate Bond Spot Rate (HQMCB30YR) from Jan 1984 to May 2025 about 30-year, bonds, corporate, interest rate, interest, rate, and USA.

Inflation rates for the lowest income households were almost always higher than for the highest income households between 2005 and 2021. The biggest difference was seen in December 2008, when the lowest income households experienced inflation rates 0.8 percent greater than the highest income households. In 2021, the difference in the inflation rate experienced by the lowest income households and the highest income households fell considerably, reaching -0.52 percent in July 2021, meaning that inflation was 0.52 percent higher for the highest earners versus the lowest earners.

The Consumer Price Index The consumer price index (CPI) measures the rate of inflation on a basket of goods as a way to document the general inflationary experience of all urban consumers. While this measure of inflation can give us insights into the general price increases of consumer goods, it may not reflect the actual inflation experienced by any given household. Consumers from different income brackets actually behave quite differently when it comes to consumption preferences and their willingness to pay.

Inflation in 2022 2022 was an exceptional year for inflation worldwide due to a multitude of factors relating to the COVID-19 pandemic and the Russian invasion of Ukraine. The inflation rate in the United States reached a high of 9.1 percent during the summer, with consumers experiencing record fuel prices, and increased concerns over the state of the economy. Despite the 2021 figures indicating that inflation has been higher for the highest earners, the pandemic saw U.S. billionaires increase their wealth by 57 percent between March 2020 and March 2022.

This map highlights where self response rates were higher: the 2010 Census or the 2020 Census. Self-response refers to those who responded to the Census on their own without the need for a Census agent to reach out to them or come to their door. When areas have lower self-response rates, resources are spent to ensure each household is accounted for. In some areas, the rate was the same, and in others, there may not be enough data to make a determination. The layers in this feature service are updated daily from the Census API to display Census 2020 self-response rates. Attributes include the release date for the self-response rate data, daily self-response rate internet, daily self-response rate overall (online, phone and mail), cumulative self-response rate internet, and cumulative self-response rate overall (online, phone and mail). These rates are the daily and cumulative percentages for all housing units that received invitations to self-respond to Census 2020. Data are shown in Census 2020 preliminary boundaries for the following geographies:StatesCongressional Districts 116th (CD)CountiesTractsPlacesAmerican Indian Areas (AIA)

United States - 61-Year High Quality Market (HQM) Corporate Bond Spot Rate was 5.95% in March of 2025, according to the United States Federal Reserve. Historically, United States - 61-Year High Quality Market (HQM) Corporate Bond Spot Rate reached a record high of 12.50 in June of 1984 and a record low of 3.09 in December of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - 61-Year High Quality Market (HQM) Corporate Bond Spot Rate - last updated from the United States Federal Reserve on May of 2025.

Graph and download economic data for Home Price Index (High Tier) for Portland, Oregon (POXRHTNSA) from Jan 1987 to Mar 2025 about high tier, Portland, HPI, housing, price index, indexes, price, and USA.

Of the 25 OECD members displayed here, the United Kingdom was the country where the highest share of bachelor's students finished their degree within the theoretical duration of their program. There, nearly 70 percent graduated within the estimated time frame. On the other hand, only 12 percent of the bachelor's students in Colombia finished within the theoretical time frame.

Graph and download economic data for U.S Individual Income Tax: Taxable Income Boundary Over which the Highest Tax Rate Bracket Applies (IITTIHB) from 1913 to 2018 about individual, tax, income, rate, and USA.

United States - 33-Year High Quality Market (HQM) Corporate Bond Spot Rate was 6.02% in April of 2025, according to the United States Federal Reserve. Historically, United States - 33-Year High Quality Market (HQM) Corporate Bond Spot Rate reached a record high of 12.64 in June of 1984 and a record low of 2.98 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - 33-Year High Quality Market (HQM) Corporate Bond Spot Rate - last updated from the United States Federal Reserve on May of 2025.

Delinquency rates for credit cards picked up in 2024 in the United States, leading to the highest rates observed since 2008. This is according to a collection of one of the United States' federal banks across all commercial banks. The high delinquency rates were joined by the highest U.S. credit card charge-off rates since the Financial Crisis of 2008. Delinquency rates, or the share of credit card loans overdue a payment for more than 60 days, can sometimes lead into charge-off, or a writing off of the loan, after about six to 12 months. These figures on the share of credit card balances that are overdue developed significantly between 2021 and 2024: Delinquencies were at their lowest point in 2021 but increased to one of their highest points by 2024. This is reflected in the growing credit card debt in the United States, which reached an all-time high in 2023.

United States - 5.5-Year High Quality Market (HQM) Corporate Bond Spot Rate was 4.77% in April of 2025, according to the United States Federal Reserve. Historically, United States - 5.5-Year High Quality Market (HQM) Corporate Bond Spot Rate reached a record high of 14.24 in June of 1984 and a record low of 0.89 in August of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - 5.5-Year High Quality Market (HQM) Corporate Bond Spot Rate - last updated from the United States Federal Reserve on June of 2025.

Open access publication rates have been steadily increasing over time. In spite of this growth, academics in low income settings struggle to gain access to the full canon of research literature. While the vast majority of open access repositories and funding organizations with open access policies are based in high income countries, the geographic patterns of open access publication itself are not well characterized. In this study, we developed a computational approach to better understand the topical and geographical landscape of open access publications in the biomedical research literature. Surprisingly, we found a strong negative correlation between country per capita income and the percentage of open access publication. Open access publication rates were particularly high in sub-Saharan Africa, but vastly lower in the Middle East and North Africa, South Asia, and East Asia and the Pacific. These effects persisted when considering papers only bearing authors from within each region and income group. However, papers resulting from international collaborations did have a higher percentage of OA than single-country papers, and inter-regional collaboration increased OA publication for all world regions. There was no clear relationship between the number of open access policies in a region and the percentage of open access publications in that region. To understand the distribution of open access across topics of biomedical research, we examined keywords that were most enriched and depleted in open access papers. Keywords related to genomics, computational biology, animal models, and infectious disease were enriched in open access publications, while keywords related to the environment, nursing, and surgery were depleted in open access publications. This work identifies geographic regions and fields of research that could be priority areas for open access advocacy. The finding that open access publication rates are highest in sub-Saharan Africa and low income countries suggests that factors other than open access policy strongly influence authors’ decisions to make their work openly accessible. The high proportion of OA resulting from international collaborations indicates yet another benefit of collaborative research. Certain applied fields of medical research, notably nursing, surgery, and environmental fields, appear to have a greater proportion of fee-for-access publications, which presumably creates barriers that prevent researchers and practitioners in low income settings from accessing the literature in those fields.

This dataset provides information about total dollars disbursed to Eligible Telecommunication Carriers (ETCs) within the High Cost Program by month and year since January 2003.

United States - 97-Year High Quality Market (HQM) Corporate Bond Spot Rate was 6.25% in April of 2025, according to the United States Federal Reserve. Historically, United States - 97-Year High Quality Market (HQM) Corporate Bond Spot Rate reached a record high of 12.44 in June of 1984 and a record low of 3.10 in November of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - 97-Year High Quality Market (HQM) Corporate Bond Spot Rate - last updated from the United States Federal Reserve on May of 2025.

December's freight volumes declined significantly, hinting at rising rates amid industry challenges, according to Cass Information Systems.

Graph and download economic data for Home Price Index (High Tier) for Washington D.C. (WDXRHTNSA) from Jan 1987 to Mar 2025 about high tier, Washington, HPI, housing, price index, indexes, price, and USA.

Palau PW: Mortality Rate: Infant: per 1000 Live Births data was reported at 13.200 Ratio in 2017. This records a decrease from the previous number of 13.600 Ratio for 2016. Palau PW: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 22.350 Ratio from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 35.300 Ratio in 1984 and a record low of 13.200 Ratio in 2017. Palau PW: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Palau – Table PW.World Bank.WDI: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

About this dataset

Context

The dataset tabulates the population of High Hill by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of High Hill across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 51.57% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the High Hill is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of High Hill total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for High Hill Population by Gender. You can refer the same here