Comprehensive demographic dataset for Capital One, Plano, TX, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The travel credit card market is experiencing robust growth, driven by increasing consumer spending on travel and the appeal of rewards programs. While precise market size figures for the base year (2025) aren't provided, considering the presence of major players like Capital One, Chase & Co., Bank of America, and American Express, and a typical CAGR in the financial services sector, we can estimate a 2025 market size of approximately $15 billion USD. This estimate considers the significant investment these companies have made in travel rewards programs and the rising popularity of travel amongst various demographics. Assuming a conservative CAGR of 8% (a reasonable figure considering fluctuating economic conditions and travel patterns), the market is projected to reach approximately $25 billion USD by 2033. Key drivers include the proliferation of attractive rewards programs, including points, miles, and cashback, which incentivize card usage and loyalty. The increasing popularity of travel, particularly amongst millennials and Gen Z who prioritize experiences, further fuels market expansion. However, factors such as economic downturns, increased interest rates affecting consumer spending, and evolving consumer preferences could act as restraints. Segmentation within the market includes cards catering to different spending habits and travel styles, from budget travelers to luxury vacationers, which allows for targeted marketing and product differentiation. The competitive landscape is dominated by established financial institutions. Each company is striving for market share by continuously innovating their rewards programs, offering enhanced travel insurance benefits, and building strategic partnerships with airlines and hotels. The market's evolution is marked by increasing digitalization, with mobile apps and online platforms playing a crucial role in managing accounts and redeeming rewards. Future growth will likely be influenced by the integration of advanced technologies like AI-powered personalization of rewards and the potential emergence of innovative payment solutions and partnerships within the travel ecosystem. Furthermore, sustainable travel initiatives and responsible tourism are influencing the design of new travel credit card offerings. Companies that effectively leverage data analytics to understand customer preferences and adapt their offerings will be better positioned for long-term success.

This intermediate level data set was extracted from the census bureau database. There are 48842 instances of data set, mix of continuous and discrete (train=32561, test=16281).

The data set has 15 attribute which include age, sex, education level and other relevant details of a person. The data set will help to improve your skills in Exploratory Data Analysis, Data Wrangling, Data Visualization and Classification Models.

Feel free to explore the data set with multiple supervised and unsupervised learning techniques. The Following description gives more details on this data set:

• age: the age of an individual.
• workclass: The type of work or employment of an individual. It can have the following categories:
  • Private: Working in the private sector.
  • Self-emp-not-inc: Self-employed individuals who are not incorporated.
  • Self-emp-inc: Self-employed individuals who are incorporated.
  • Federal-gov: Working for the federal government.
  • Local-gov: Working for the local government.
  • State-gov: Working for the state government.
  • Without-pay: Not working and without pay.
  • Never-worked: Never worked before.
• Final Weight: The weights on the CPS files are controlled to independent estimates of the civilian noninstitutional population of the US. These are prepared monthly for us by Population Division here at the Census Bureau. We use 3 sets of controls.

These are: 1. A single cell estimate of the population 16+ for each state. 2. Controls for Hispanic Origin by age and sex. 3. Controls by Race, age and sex.

We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used.

People with similar demographic characteristics should have similar weights. There is one important caveat to remember about this statement. That is that since the CPS sample is actually a collection of 51 state samples, each with its own probability of selection, the statement only applies within state.

• education: The highest level of education completed.
• education-num: The number of years of education completed.
• marital-status: The marital status.
• occupation: Type of work performed by an individual.
• relationship: The relationship status.
• race: The race of an individual.
• sex: The gender of an individual.
• capital-gain: The amount of capital gain (financial profit).
• capital-loss: The amount of capital loss an individual has incurred.
• hours-per-week: The number of hours works per week.
• native-country: The country of origin or the native country.
• income: The income level of an individual and serves as the target variable. It indicates whether the income is greater than $50,000 or less than or equal to $50,000, denoted as (>50K, <=50K).

As of January 1, 2023, the aggregate Egyptian population was estimated at almost 104.5 million inhabitants. The capital city, Cairo, was the most populated area in the country, with 10.2 million residents. Moreover, the governorate of Giza followed, with up to 9.46 million people living in the area. South Sinai was the least inhabited governorate in the nation. The touristic region had a mere 115,000 people actively residing in the governorate. A scarcely populated area and a populous capitalEgypt has a total area of close to 1.01 million square kilometers. Yet, only around 105,200 square kilometers of the country are inhabited, representing only around 10.5 percent of the available landmass. Most of the Egyptian population lives along the Nile River due to the majority of the land being a desert. In fact, El Wadi ElGidid, also known as New Valley governorate, located in the south of Egypt's Western Desert, covers almost 42.3 percent of the country. Notably, the population density in Cairo was higher compared to the other governorates at over 5,610 people per square kilometer. Population growth and a New Administrative Capital     Since 1952, the country’s population faced a rapid increase growing from close to 21.5 million to current levels. Between 2012 and 2022, the population growth of Egypt was highest in 2014 at nearly 2.34 percent, dropping yearly ever since. In March 2015, Egypt’s current Prime Minister Mostafa Madbouly, who was at that time Minister of Housing and Urban Utilities, announced the establishment of the New Administrative Capital. One of the fundamental goals is to decrease the current overpopulation in Greater Cairo and its inability to absorb a fast-growing population.

The travel credit card market, encompassing major players like Capital One, Chase & Co, Bank of America, American Express, Citi, Discover, and U.S. Bank, is experiencing robust growth. While precise market size figures aren't provided, considering the involvement of major financial institutions and the resurgence of travel post-pandemic, a conservative estimate for the 2025 market size could be $50 billion USD. A compound annual growth rate (CAGR) of 8% seems reasonable given ongoing consumer demand for travel rewards and the competitive landscape encouraging innovative product offerings. Key drivers include increased consumer spending on travel and experiences, the increasing popularity of travel rewards programs emphasizing points and miles accumulation, and the development of sophisticated loyalty programs that integrate with various travel partners. Trends indicate a shift towards digital-first applications, personalized rewards, and sustainable travel options being integrated into card benefits. Constraints could include fluctuating interest rates, economic uncertainty impacting consumer spending, and increased competition leading to pressure on reward structures. The market is likely segmented by card type (premium, standard), reward structure (points, miles, cashback), and demographic targeting (millennials, families, luxury travelers). Hyatt Corporation's presence suggests an emerging trend of partnerships between financial institutions and travel and hospitality providers. The forecast period of 2025-2033 promises continued growth, though economic factors will play a significant role in determining the trajectory. The market's future growth is largely dependent on sustained economic stability and travel recovery across various segments. The competitive landscape necessitates continuous innovation in reward programs to attract and retain customers. Companies are likely investing heavily in data analytics and personalization to deliver targeted offerings and optimize customer loyalty. Successful players will leverage technology to enhance the user experience, streamline redemption processes, and offer increasingly sophisticated travel planning tools within their mobile apps. The integration with other travel and lifestyle services – from ride-sharing to hotel booking and concierge services – will further define the future of the travel credit card market. Strategic partnerships, particularly with established travel brands, will also play a crucial role in differentiating offerings and capturing market share in this dynamic sector.

The most populous area in Finland is the capital region of Uusimaa, with almost 1.8 million inhabitants as of 2024. Almost one third of the 5.64 million population lived in the capital city and the surrounding Greater Helsinki area. The second-largest region in terms of population was Pirkanmaa, inhabited by 545,406 people. Three out of the ten largest cities located in Uusimaa The Uusimaa region also has Finland's highest population density with roughly 195.7 inhabitants per square kilometer. Pirkanmaa's population density is only 41.2 inhabitants per square meter. Out of the 10 largest cities in the country, three are located in the Uusimaa region, including the capital city Helsinki. Changing population structure The population of Finland is expected to grow in the following decade, reaching 6.18 million in 2050. However, the population is aging rapidly, as the number of inhabitants aged 75 years and older continues to increase in the future. At the same time, the population aged 14 and younger is estimated to constantly decline.

The global personal credit card market, valued at $1,404,430 million in 2025, is projected to experience robust growth, driven by several key factors. The increasing adoption of digital payment technologies and the expansion of e-commerce are significantly boosting credit card usage across various demographics. Furthermore, targeted marketing strategies by credit card issuers, coupled with attractive rewards programs and competitive interest rates, are enticing new customers and increasing spending amongst existing users. The market segmentation reveals diverse user profiles, ranging from individuals with limited credit card usage to those with high usage and revolving debt. This necessitates a nuanced approach from issuers, requiring tailored product offerings and responsible lending practices to cater to varying risk profiles and financial behaviors. The growth is further fueled by increasing financial inclusion efforts in emerging markets, expanding the addressable market significantly. However, factors such as stringent regulatory oversight, rising concerns about debt management, and the potential for economic downturns pose potential challenges to sustained market growth. The competitive landscape is highly fragmented, with both established international banks and regional players vying for market share, leading to intense competition in terms of pricing, features, and customer service. The market's regional distribution shows a concentration in developed economies like North America and Europe, driven by high credit card penetration and established financial infrastructure. However, significant growth opportunities exist in rapidly developing economies within Asia-Pacific and other emerging regions, where increasing disposable incomes and expanding middle classes are fueling credit card adoption. The diverse application segments, including daily consumption, travel, and entertainment, present significant avenues for innovation and customization of credit card products and services. The projected Compound Annual Growth Rate (CAGR) of 4.3% indicates a steady, consistent expansion of the market throughout the forecast period (2025-2033). This suggests sustained demand and consistent investment in the sector, despite potential challenges. This growth trajectory is expected to be supported by ongoing advancements in financial technology, personalization of services, and the continued expansion of digital banking platforms.

In 2024, the capital of Italy, Rome, maintained its position as the most populous city of the Italian peninsula. Over the last decade, the number of the Eternal City’s inhabitants has been growing, from about 2.6 million residents in 2012 to over 2.8 million individuals registered in 2020. From 2021, however, its population slightly dropped, reaching 2.75 million in 2024. Lazio, the region on the Tyrrhenian SeaRome is located in the region of Lazio. This central region, which in the west borders on the Tyrrhenian Sea, is the second-largest Italian region in terms of population, after Lombardy and before Campania. Expensive life in the Italian capital Despite being one of the most affordable European capitals in terms of average monthly rent, Rome occupies the second place on the Italian podium of cities with the highest dwelling rental prices. In 2019, an average monthly rent for a single room amounted to 448 euros, whereas the average monthly price in 2020 of a double room estimated at 287 euro per person, without utilities.

A dataset listing Montana cities by population for 2024.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

Data Source: This dataset was compiled from multiple data sources

If this was helpful, a vote is appreciated ❤️ Thank you 🙂

This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

In 2024, the major city of Istanbul had almost **** million inhabitants and was the province with the highest population in Turkey. The Turkish capital, Ankara, was the second-largest province, with **** million people residing there in the same year. Characteristics of the Turkish population The population of Turkey has been following a continuously increasing trend for a long time. As of 2024, there were approximately **** million people living in the country. That year, the male population was slightly higher than the female population, amounting to over **** million. When it comes to the gender distribution among the age groups, the gender gap was the highest among the 90-year-olds and older. In 2024, women constituted ** percent of that age group, whereas the share of men was slightly higher among 0-to-59-year-olds. Structure of Turkish households The demand for living alone has been increasing in many communities. The case is not much different in Turkey, where the proportion of single households has been on the rise steadily. The share of households with one person peaked in 2024 at nearly ** percent in the country. However, one-family households still registered the highest number of residents as of 2024, with roughly **** million. In comparison, one-person households counted *** million individuals.

1. Context

Capital punishment is one of the controversial human rights issues in the United States. While surfing the Internet for an interesting dataset, I came across this database by Texas Department of Criminal Justice, which comprises of the offenders' last words before execution. Some of the statements are:

"...Young people, listen to your parents; always do what they tell you to do, go to school, learn from your mistakes. Be careful before you sign anything with your name. Never, despite what other people say..." (Ramiro Hernandez, executed on April 9th, 2014)

"First and foremost I'd like to say, "Justice has never advanced by taking a life" by Coretta Scott King. Lastly, to my wife and to my kids, I love y'all forever and always. That's it." (Taichin Preyor, executed on July 27th, 2017)

As I skimmed these lines, I decided to create this dataset.

2. Content

This dataset includes information on criminals executed by Texas Department of Criminal Justice from 1982 to November 8th, 2017. In Furman v Georgia in 1972, the Supreme Court considered a group of consolidated cases, whereby it severely restricted the death penalty. However, like other states, Texas adjusted its legislation to address the Court's concern and once again allow for capital punishment in 1973. Texas adopted execution by lethal injection in 1977 and in 1982, the starting year of this dataset, the first offender was executed by this method.

The dataset consists of 545 observations with 21 variables. They are:
- Execution: The order of execution, numeric.
- LastName: Last name of the offender, character.
- FirstName: First name of the offender, character.
- TDCJNumber: TDCJ Number of the offender, numeric.
- Age: Age of the offender, numeric.
- Race: Race of the offender, categorical : Black, Hispanic, White, Other.
- CountyOfConviction: County of conviction, character.
- AgeWhenReceived: Age of offender when received, numeric.
- EducationLevel: Education level of offender, numeric.
- Native County: Native county of offender, categorical : 0 = Within Texas, 1= Outside Texas.
- PreviousCrime : Whether the offender committed any crime before, categorical: 0= No, 1= Yes.
- Codefendants: Number of co-defendants, numeric.
- NumberVictim: Number of victims, numeric.
- WhiteVictim, HispanicVictim, BlackVictim, VictimOtherRace. FemaleVictim, MaleVictim: Number of victims with specified demographic features, numeric.
- LastStatement: Last statement of offender, character.

3. Acknowledgement

This dataset is derived from the database by Texas Department of Criminal Justice which can be found in this link: http://www.tdcj.state.tx.us/death_row/dr_executed_offenders.html . It can be seen that the original one has fewer than 10 variables and is embedded with some links to sub-datasets, so I manually inputted more variables based on those links.

There are some complications with this dataset. Firstly, the dataset was manually created so mistakes are inevitable, though I have tried my best to minimize them. Secondly, the recording of offender information is not complete and consistent. For example, sometimes the education level of GED is interpreted as 11 years, at other times as 9 or 10 years. "None" and "NA" are used interchangeably, making it hard to distinguish between 0 and NA in the coded variable. The victim's information is often omitted, so I rely on the description of the crime for the names and pronouns to make a judgement of the number of victims and their gender. Finally, the last statements are sometimes recorded in the first person and sometimes in the third, so the word choice might not be original. That being said, I find this dataset meaningful and worth sharing.

4. Inspiration

What are the demographics of the death row inmates? What are the patterns of their last statements? What is the relationship between the two?

The largest city in Finland is Helsinki with 684,018 inhabitants. Helsinki is the capital of Finland, and it is located in the south within the Uusimaa region. In 2024, the second largest city was Espoo, a city located in the Greater Helsinki metropolitan area, which had approximately 320,900 inhabitants. After the cities of Helsinki and Espoo, the third largest and most populous city outside the capital region was Tampere, with roughly 280,200 inhabitants. The Finnish population is highly concentrated in southern Finland The total population of Finland is roughly 5.64 million. Finland is one of the most sparsely populated countries in Europe, and the population is highly concentrated in the southern and southwestern parts of the country. Since 1915 the population of Finland grew steadily from 3.1 million to more than 5.64 million inhabitants. But the upwards trend slowed down in recent years. The median age of the Finnish population is rising While the population growth slowed down the Finnish population also got older. The media age increased from 38.4 years in 2000 to 43 years in 2024. The estimated median age for the Finnish population in 2035 was 45.3 years.

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.