![]() ![]() did not report that month) that month in the card_actual_pt variable or reports NA in that variable. Adds a number_of_months_missing in the annual data which is the sum of the number of times that the agency reports "missing" data (i.e.You should use the last_month_reported or the number_of_months_missing (see below) variable instead. Removes the number_of_months_reported variable as the name is misleading. This is actually how the FBI defines number_of_months_reported so is a more accurate representation of that. ![]() ![]() Adds a last_month_reported column which says which month was reported last.Thanks for Brooke Watson for catching this bug! Fixes bug in the crosswalk data that is merged to this file that had the incorrect FIPS code for Clinton, Tennessee (ORI = TN00101).The population column is the sum of the three population columns. Also adds county 1-3 columns which identify which counties the agency is in. Adds population 1-3 columns - if an agency is in multiple counties, these variables show the population in the county with the most people in that agency in it ( population_1), second largest county ( population_2), and third largest county ( population_3).For some reason, a small number of agencies (primarily federal agencies) had the same ORI number in 2018 and I removed these duplicate agencies.However, I am keeping this incorrect value to maintain a consistent definition of how many months are missing (measuring missing months through card_actual_type, for example, gives different results for previous years so I don't want to change this). This variable is almost certainly incorrect since it is extremely unlikely that all agencies suddenly always report. This causes 2018 to report that all months are reported for all agencies because I use the card_actual_pt variable to measure how many months were reported. Please note that in 2018 the card_actual_pt variable always returns that the month was reported.In most cases, this is the same as the normal number_of_months_missing but not always so please check if you intend to use arson data. missing from the annual data) in the arson data. Adds a arson_number_of_months_missing column indicating how many months were not reporting (i.e.The "all_crimes" variables also now include arson. As arson is an index crime, both the total index and the index property columns now include arson offenses.This adds just the arson variables about the number of arson incidents, not the complete set of variables in that dataset (which include damages from arson and whether structures were occupied or not during the arson. Adds arson data from the UCR's Arson dataset. ![]()
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