Iranian American Lawyers, a Statistical Report
Author: Nima Heydarian, Founder of Iranianlawyers.com
Since 2011, we have made significant improvements in building a directory of Iranian lawyers as a platform to connect Iranians and Iranian lawyers. We expended major efforts to gather useful and accurate demographic data about Iranians in United States primarily from reliable sources such as U.S. Census Bureau and Namibia Statistics Agency. In this process, we arrived at some very interesting results which we are sharing publicly for the first time.
Iranians in the United States
The first and most critical data that we looked at was the population distribution of Iranians across United States. Below you can see a heat map of that data and below the map you can find a table of the raw data:
Iranians in Legal Occupations
The U.S. Census also provides information on number of people in “legal occupations” across the United States. The Census provides this data for the Iranian population down to the state level and the map below shows that distribution.
Iranians in Legal Occupations vs. Iranians
Lastly we wanted to look at the distribution of Iranians in legal occupations against the population of Iranians in each state of the country. That, however, wasn’t as simple as looking at the straight ratio of the Iranian population divided by Iranians in legal occupations. Instead, we had to normalize the data against the total population of Iranians in each area to get the most accurate comparison. The map below displays our findings. As you can see, even though most of the Iranian population live in California, the states of Arizona, Nevada, Oklahoma, Kansas, South Carolina, and Minnesota have the lowest number of Iranian lawyers to general Iranian population. Keep in mind that these findings are based on normalized data which means all the data points have been brought to a national common scale.
Data Analysis Method
In the overall data analysis and knowledge discovery process and often before the data mining step itself, data pre-processing plays a significant role. One of the most crucial steps in processing data concerns the normalization step. This step is very important when dealing with parameters of different units and scales. In this study, to calculate the market size, the number of Iranian lawyers in each state has been normalized to bring the entire probability distribution of adjusted values into alignment. Simply put, the data needs to be filtered and normalized to bring all of the variables into proportion. For example, although the number of Iranian lawyers is California is significantly higher than the number of lawyers in Utah, California is home to a much larger Iranian population. Hence, comparing the number of Iranian lawyers in California to the number of Iranian lawyers in Utah without taking the total population of Iranians in each state is flawed.
Another crucial step of data processing is filtering or capping the outliers. If you have outliers in your data set, normalizing your data will certainly scale the “normal” data to a very small interval. For example, there might be no record of any Iranian lawyer in a state with a very small Iranian population. In this case, extreme caution must be exercised to cap the resultant market size for this state to prevent the normal data from unnecessary further scaling.
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