Alexander Fishkov, Ph.D. student Computer Science
The U.S. Refugee Processing Center publishes a lot of data about resettlements related to the U.S. Refugee Admissions Program. It collects data from the Refugee Processing Center, which is operated by the U.S. Department of State Bureau of Population, Refugees, and Migration. This makes it the most reliable source of information on refugees coming from all over the world to the U.S.
Andrey Kamenov, Ph.D. Probability and Statistics
This is the final post of our series on the changes in business profiles of the four United States regions. This time we use the County Business Patterns data to see which industry sectors in the Northeast have shown the largest changes in the employment numbers.
Despite the Northeastern states having the smallest total population of all four regions, it is very densely populated. In fact, seven states with the highest population density are located in the region.
Continue reading The fastest-growing industry sectors in the Northeast are Construction-related
Andrey Kamenov, Ph.D. Probability and Statistics
It may not be the largest sector by number of establishments or workforce size, but you cannot underestimate the importance of the Agriculture industry. The North American Industry Classification System names it “Agriculture, Forestry, Fishing and Hunting.”
Continue reading The decline of the U.S. Agriculture industry visualized
Andrey Kamenov, Ph.D. Probability and Statistics
As we saw in our post about the fastest-growing industries, one sector performed particularly poorly since 2000. This is the construction industry, which includes businesses in new housing construction itself, as well as electrical, heating and framing contractors and many other specialty trade contractors.
Continue reading The number of jobs in Construction is falling across the U.S.
Andrey Kamenov, Ph.D. Probability and Statistics
As we saw in our post about high-paid finance jobs some time ago, there are some counties where the average payroll is significantly higher. The highest numbers are registered in the large cities, but there has been a significant increase is counties that neighbor them (such as Suffolk and Westchester).
If we are to find a relationship between the payroll and employment numbers, it would be logical to assume that the payroll is higher in counties where more people are employed. Actually, it is likely that the relationship is reciprocal — more people are willing to get a job in a city where paychecks are larger.
Continue reading Higher local employment numbers lead to higher payrolls, especially in finance
Andrey Kamenov, Ph.D. Probability and Statistics
Today we present another post in our series exploring the business profiles of the United States regions. In this post, we’ll take a look at the sector-by-sector changes in employment in the South using the United States Census Bureau County Business Patterns data.
Continue reading Administrative services employment in the South has fallen
Andrey Kamenov, Ph.D. Probability and Statistics
The U.S. Census Bureau’s County Business Patterns data allows us to compare employment and payroll numbers between businesses of different sizes.
Approximately half of Americans are employed in businesses with less than 100 total employees. It appears that on average, these companies pay 37 percent less.
Of course, the average number doesn’t mean much — the exact difference varies from state to state and industry to industry.
Continue reading Smaller companies pay less – especially in finance
Andrey Kamenov, Ph.D. Probability and Statistics
In peer-to-peer lending (as well as traditional lending), there are many factors that influence the chance that a loan will be paid back. Other than credit score, factors such as income-to-debt ratio, occupation and employment length are considered. We will focus on the latter, once again using the data provided by Prosper (https://www.prosper.com/tools/DataExport.aspx).
Generally, Prosper itself provides the aggregate score which can be used to rate loan quality. And as we can see, it does an exceptionally good job: the borrowers with higher ratings (7 being the highest possible) have a smaller percentage of defaulted loans in almost all cases.
Continue reading Employment length becomes increasingly important for borrowers
Andrey Kamenov, Ph.D. Probability and Statistics
As we saw in our earlier post, in addition to several universally popular names there are also many names that rapidly gained popularity. For example, for names such as Ethan and Liam, the number of occurrences has increased by around three times in the recent five years, according to the data provided by the official Social Security website.
Continue reading Popular names come from the northern states