Financial overview and grant giving statistics of Community Services Clearing House Inc.

Provide general information on bill exchange at Kaohsiung City Clearing House

Monthly population data for the under-18 custodial population.

Thailand Sec Co: Assets: Clearing House Receivables (CR) data was reported at 32,993.811 THB mn in Jun 2018. This records a decrease from the previous number of 34,403.410 THB mn for Mar 2018. Thailand Sec Co: Assets: Clearing House Receivables (CR) data is updated quarterly, averaging 24,723.195 THB mn from Mar 2011 (Median) to Jun 2018, with 30 observations. The data reached an all-time high of 34,403.410 THB mn in Mar 2018 and a record low of 12,262.500 THB mn in Dec 2011. Thailand Sec Co: Assets: Clearing House Receivables (CR) data remains active status in CEIC and is reported by Securities and Exchange Commission. The data is categorized under Global Database’s Thailand – Table TH.Z022: Securities Company Statistics.

The Clearing House and Settlement Service market plays a pivotal role in the global financial ecosystem, providing essential infrastructure for the smooth and efficient transfer of funds and securities. This market encompasses various services that facilitate the clearing and settlement of financial transactions, en

The clearing houses and settlements market is segmented by type (outward clearing house, inward clearing house), by service (TARGET2, SEPA, EBICS, other services (EURO1, CCBM), and by geography (North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa). The report offers market size and forecasts for the Global Clearing Houses and Settlements market in value (USD billion) for all the above segments.

Financial overview and grant giving statistics of Woodstock Christmas Clearing House

Financial overview and grant giving statistics of Central Missionary Clearinghouse Inc.

About this dataset

Context

The dataset presents the median household income across different racial categories in Clear Spring. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Clear Spring population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 77.66% of the total residents in Clear Spring. Notably, the median household income for White households is $70,313. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $70,313.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Clear Spring.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Clear Spring median household income by race. You can refer the same here

ObjectivesPatient-centred care (PCC) improves multiple patient and health system outcomes. However, many patients do not experience PCC, particularly women, who are faced with disparities in care and outcomes globally. The purpose of this study was to identify if and how guidelines address PCC for women (PCCW).MethodsWe searched MEDLINE, EMBASE, National Guideline Clearing House, and guideline developer websites for publicly-available, English-language guidelines on depression and cardiac rehabilitation, conditions with known gendered inequities. We used summary statistics to report guideline characteristics, clinical topic, mention of PCC according to McCormack’s framework, and mention of women’s health considerations. We appraised guideline quality with the AGREE II instrument.ResultsA total of 27 guidelines (18 depression, 9 cardiac rehabilitation) were included. All 27 guidelines mentioned at least one PCC domain (median 3, range 1 to 6), most frequently exchanging information (20, 74.1%), making decisions (20, 74.1%), and enabling patient self-management (21, 77.8%). No guidelines fully addressed PCC: 9 (50.0%) of 18 depression guidelines and 3 (33.3%) of 9 cardiac rehabilitation guidelines addressed 4 or more PCC domains. Even when addressed, guidance was minimal and vague. Among 14 (51.9%) guidelines that mentioned women’s health, most referred to social determinants of health; none offered guidance on how to support women impacted by these factors, engage women, or tailor care for women. These findings pertained even to women-specific guidelines. Reported use or type of guideline development process/system did not appear to be linked with PCCW content. Based on quality appraisal with AGREE II, guidelines were either not recommended or recommended with modifications. In particular, the stakeholder involvement AGREE II domain was least addressed, but guidelines that scored higher for stakeholder involvement also appeared to better address PCCW.ImplicationsThis research identified opportunities to generate guidelines that achieve PCCW. Strategies include employing a PCC framework, considering gender issues, engaging women on guideline-writing panels, and including patient-oriented tools in guidelines. Primary research is needed to establish what constitutes PCCW.

The Europe Clearing Houses and Settlements Market is Segmented by Type (Outward Clearing House and Inward Clearing House), by Service (TARGET2, Sepa, Ebics, and Other Services), and by Country (United Kingdom, Germany, France, Spain, Italy, Nordics, and Rest of Europe). The Report Offers Market Size and Forecasts for the European Clearing Houses and Settlements Market in Value (USD) for all the Above Segments.

About this dataset

Context

The dataset presents the median household income across different racial categories in Clear Lake. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Clear Lake population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.52% of the total residents in Clear Lake. Notably, the median household income for White households is $72,875. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $73,125. This reveals that, while Whites may be the most numerous in Clear Lake, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Clear Lake.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Clear Lake median household income by race. You can refer the same here

Thailand Sec Co: Lia: Clearing House Payables (CP) data was reported at 15,755.516 THB mn in Mar 2018. This records a decrease from the previous number of 16,294.599 THB mn for Dec 2017. Thailand Sec Co: Lia: Clearing House Payables (CP) data is updated quarterly, averaging 14,887.350 THB mn from Mar 2011 (Median) to Mar 2018, with 29 observations. The data reached an all-time high of 22,916.774 THB mn in Sep 2016 and a record low of 5,705.190 THB mn in Dec 2011. Thailand Sec Co: Lia: Clearing House Payables (CP) data remains active status in CEIC and is reported by Securities and Exchange Commission. The data is categorized under Global Database’s Thailand – Table TH.Z021: Securities Company Statistics.

Financial overview and grant giving statistics of Lawyers Clearinghouse on Affordable Housing and Homelessness Inc.

The Automated Clearing House (ACH) market has become a pivotal component in the financial ecosystem, facilitating electronic payments and the seamless transfer of funds between banks and institutions. This system, which enables automated direct deposits, bill payments, and various other financial transactions, has r

This map shows where housing is owned free and clear (no mortgage) in the USA in 2010. This pattern is shown for states, counties, tracts, and block groups. The color of the symbols shows the percentage of owner-occupied housing units that are owned free and clear. Areas in yellow have more housing units owned free and clear, and areas in blue have less.The size of the symbol shows the overall quantity of housing units owned free and clear. This provides a comparison between the total count and the amount relative to the other houses in the area.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Clear Lake. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Clear Lake, the median household income for the households where the householder is White increased by $10,109(11.09%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $91,141 in 2013 and $101,250 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Clear Lake, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Clear Lake.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Clear Lake median household income by race. You can refer the same here

This statistic shows the total volume of clearings through Clearing House Automated Payment System (CHAPS) in the United Kingdom (UK) from January 2015 to February 2020. There were over 3.7 million transfers through CHAPS transfers initiated in the UK in February 2020.

Series Name: Countries that have legislative administrative and policy framework or measures reported to the Access and Benefit-Sharing Clearing-House (1 = YES; 0 = NO)Series Code: ER_CBD_ABSCLRHSRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 15.6.1: Number of countries that have adopted legislative, administrative and policy frameworks to ensure fair and equitable sharing of benefitsTarget 15.6: Promote fair and equitable sharing of the benefits arising from the utilization of genetic resources and promote appropriate access to such resources, as internationally agreedGoal 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity lossFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/