The market cap of Cardano (ADA) nearly doubled in **** days in February 2021, amidst a growing buying activity from investors during this time. Cardano stood out due to its close relation to Ethereum, as well as a detailed transaction history in its ledger - potentially making this digital coin more secure than others. Compared to both the Bitcoin market capitalization, as well as the Ethereum market cap, Cardano was not as popular.

Swiss cryptocurrency Cardano (ADA) witnessed a price surge of nearly 100 percent in seven days in early February 2021, amid high interest from investors. One reason for this interest is the digital coin's close relation to Ethereum (ETH), as mathematician Charles Hoskinson co-founded both virtual currencies. Moreover, like Ethereum, ADA has an open-source format, meaning anybody can develop this currency further. As of June 30, 2025, one ADA token was worth 0.56 U.S. dollars.

The dominance of Cardano increased more than four-fold in 2021, although figures in November 2021 were lower than at the end of August. Within the crypto world, this so-called "dominance" ratio is one of the oldest and most investigated metrics available. It measures the coin's market cap relative to the overall crypto market - for instance, it shows how strong Bitcoin is compared to all the other cryptocurrencies that are not BTC, called "altcoins". In the case of Cardano, the dominance somewhat reveals the coin's growing popularity as an alternative to Ethereum, it being a popular blockchain for Decentralized Finance (DeFi) applications.

Google Mobility Changes: Parks: United States: Idaho: Ada County data was reported at 74.000 % in 29 Sep 2022. This records an increase from the previous number of 59.000 % for 28 Sep 2022. Google Mobility Changes: Parks: United States: Idaho: Ada County data is updated daily, averaging 69.000 % from Feb 2020 (Median) to 29 Sep 2022, with 797 observations. The data reached an all-time high of 263.000 % in 04 Jul 2022 and a record low of -40.000 % in 13 Nov 2020. Google Mobility Changes: Parks: United States: Idaho: Ada County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Parks.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ada. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ada, the median income for all workers aged 15 years and older, regardless of work hours, was $37,857 for males and $28,562 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 25% between the median incomes of males and females in Ada. With women, regardless of work hours, earning 75 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Ada.

- Full-time workers, aged 15 years and older: In Ada, among full-time, year-round workers aged 15 years and older, males earned a median income of $49,593, while females earned $44,273, resulting in a 11% gender pay gap among full-time workers. This illustrates that women earn 89 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Ada.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Ada.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

Google Mobility Changes: Workplaces: United States: Idaho: Ada County data was reported at -28.000 % in 30 Sep 2022. This records a decrease from the previous number of -27.000 % for 29 Sep 2022. Google Mobility Changes: Workplaces: United States: Idaho: Ada County data is updated daily, averaging -29.000 % from Feb 2020 (Median) to 30 Sep 2022, with 959 observations. The data reached an all-time high of 4.000 % in 08 Mar 2020 and a record low of -89.000 % in 25 Nov 2021. Google Mobility Changes: Workplaces: United States: Idaho: Ada County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Workplaces.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ada township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ada township, the median income for all workers aged 15 years and older, regardless of work hours, was $79,441 for males and $45,263 for females.

These income figures highlight a substantial gender-based income gap in Ada township. Women, regardless of work hours, earn 57 cents for each dollar earned by men. This significant gender pay gap, approximately 43%, underscores concerning gender-based income inequality in the township of Ada township.

- Full-time workers, aged 15 years and older: In Ada township, among full-time, year-round workers aged 15 years and older, males earned a median income of $105,698, while females earned $81,952, leading to a 22% gender pay gap among full-time workers. This illustrates that women earn 78 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Ada township.

https://i.neilsberg.com/ch/ada-township-mi-income-by-gender.jpeg" alt="Ada Township, Michigan gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Ada township median household income by gender. You can refer the same here

Google Mobility Changes: Retails & Recreation: United States: Idaho: Ada County data was reported at -10.000 % in 30 Sep 2022. This records a decrease from the previous number of -5.000 % for 29 Sep 2022. Google Mobility Changes: Retails & Recreation: United States: Idaho: Ada County data is updated daily, averaging -8.000 % from Feb 2020 (Median) to 30 Sep 2022, with 959 observations. The data reached an all-time high of 24.000 % in 23 Dec 2021 and a record low of -86.000 % in 25 Dec 2020. Google Mobility Changes: Retails & Recreation: United States: Idaho: Ada County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Retail & Recreation.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Ada. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Ada, the median income for all workers aged 15 years and older, regardless of work hours, was $34,055 for males and $27,198 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 20% between the median incomes of males and females in Ada. With women, regardless of work hours, earning 80 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Ada.

- Full-time workers, aged 15 years and older: In Ada, among full-time, year-round workers aged 15 years and older, males earned a median income of $44,852, while females earned $41,816, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Ada.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Ada.

https://i.neilsberg.com/ch/ada-ok-income-by-gender.jpeg" alt="Ada, OK gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Ada median household income by gender. You can refer the same here

Google Mobility Changes: Grocery & Pharmacy: United States: Idaho: Ada County data was reported at 2.000 % in 30 Sep 2022. This records an increase from the previous number of -1.000 % for 29 Sep 2022. Google Mobility Changes: Grocery & Pharmacy: United States: Idaho: Ada County data is updated daily, averaging 2.000 % from Feb 2020 (Median) to 30 Sep 2022, with 959 observations. The data reached an all-time high of 47.000 % in 23 Dec 2021 and a record low of -75.000 % in 25 Dec 2021. Google Mobility Changes: Grocery & Pharmacy: United States: Idaho: Ada County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Grocery & Pharmacy.

France ST: Val: BS: ADS: ADM: ADA: Organization Of Trade Fairs data was reported at 135.900 2005=100 in Dec 2012. This records an increase from the previous number of 126.000 2005=100 for Nov 2012. France ST: Val: BS: ADS: ADM: ADA: Organization Of Trade Fairs data is updated monthly, averaging 95.150 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 139.000 2005=100 in Dec 2011 and a record low of 41.800 2005=100 in Dec 1995. France ST: Val: BS: ADS: ADM: ADA: Organization Of Trade Fairs data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C017: Services Turnover Index: Business Services: 2005=100.

France ST: Val: BS: ADS: ADM: ADA: Activities Of Call Centers data was reported at 169.700 2005=100 in Dec 2012. This records an increase from the previous number of 113.200 2005=100 for Nov 2012. France ST: Val: BS: ADS: ADM: ADA: Activities Of Call Centers data is updated monthly, averaging 84.200 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 169.800 2005=100 in Dec 2011 and a record low of 17.000 2005=100 in Apr 2001. France ST: Val: BS: ADS: ADM: ADA: Activities Of Call Centers data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C017: Services Turnover Index: Business Services: 2005=100.

France ST: Val: BS: ADS: ADM: ADA: Combined Services Office data was reported at 158.000 2005=100 in Dec 2012. This records a decrease from the previous number of 173.300 2005=100 for Nov 2012. France ST: Val: BS: ADS: ADM: ADA: Combined Services Office data is updated monthly, averaging 93.650 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 173.300 2005=100 in Nov 2012 and a record low of 66.900 2005=100 in Feb 1998. France ST: Val: BS: ADS: ADM: ADA: Combined Services Office data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C017: Services Turnover Index: Business Services: 2005=100.

France ST: Val: swda: BS: ADS: ADM: ADA: Combined Services Office data was reported at 143.100 2005=100 in Dec 2012. This records an increase from the previous number of 141.900 2005=100 for Nov 2012. France ST: Val: swda: BS: ADS: ADM: ADA: Combined Services Office data is updated monthly, averaging 95.700 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 150.100 2005=100 in Jun 2012 and a record low of 66.700 2005=100 in Dec 1995. France ST: Val: swda: BS: ADS: ADM: ADA: Combined Services Office data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C018: Services Turnover Index: Business Services: 2005=100: Seasonally and Working Days Adjusted.

France ST: Val: swda: BS: ADS: ADM: Administrative Activities (ADA) data was reported at 115.800 2005=100 in Dec 2012. This records an increase from the previous number of 113.100 2005=100 for Nov 2012. France ST: Val: swda: BS: ADS: ADM: Administrative Activities (ADA) data is updated monthly, averaging 96.950 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 117.900 2005=100 in Apr 2012 and a record low of 61.700 2005=100 in Dec 1995. France ST: Val: swda: BS: ADS: ADM: Administrative Activities (ADA) data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C018: Services Turnover Index: Business Services: 2005=100: Seasonally and Working Days Adjusted.

Stock market forecasting is one of the most challenging problems in today’s financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) methods can improve stock market predictions to some extent. In this paper, a novel strategy is proposed to improve the prediction efficiency of ML models for financial markets. Nine ML models are used to predict the direction of the stock market. First, these models are trained and validated using the traditional methodology on a historic data captured over a 1-day time frame. Then, the models are trained using the proposed methodology. Following the traditional methodology, Logistic Regression achieved the highest accuracy of 85.51% followed by XG Boost and Random Forest. With the proposed strategy, the Random Forest model achieved the highest accuracy of 91.27% followed by XG Boost, ADA Boost and ANN. In the later part of the paper, it is shown that only classification report is not sufficient to validate the performance of ML model for stock market prediction. A simulation model of the financial market is used in order to evaluate the risk, maximum draw down and returns associate with each ML model. The overall results demonstrated that the proposed strategy not only improves the stock market returns but also reduces the risks associated with each ML model.

France ST: Val: swda: BS: ADS: ADM: ADA: Organization Of Trade Fairs data was reported at 121.400 2005=100 in Dec 2012. This records an increase from the previous number of 119.000 2005=100 for Nov 2012. France ST: Val: swda: BS: ADS: ADM: ADA: Organization Of Trade Fairs data is updated monthly, averaging 96.500 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 126.500 2005=100 in Jan 2008 and a record low of 37.200 2005=100 in Dec 1995. France ST: Val: swda: BS: ADS: ADM: ADA: Organization Of Trade Fairs data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C018: Services Turnover Index: Business Services: 2005=100: Seasonally and Working Days Adjusted.

France ST: Val: BS: ADS: ADM: ADA: Photocopy, Doc Preparation data was reported at 132.900 2005=100 in Dec 2012. This records an increase from the previous number of 111.500 2005=100 for Nov 2012. France ST: Val: BS: ADS: ADM: ADA: Photocopy, Doc Preparation data is updated monthly, averaging 93.300 2005=100 from Jan 1995 (Median) to Dec 2012, with 216 observations. The data reached an all-time high of 132.900 2005=100 in Dec 2012 and a record low of 59.800 2005=100 in Aug 1995. France ST: Val: BS: ADS: ADM: ADA: Photocopy, Doc Preparation data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.C017: Services Turnover Index: Business Services: 2005=100.