Question
Hi! Need some help on creating anything correlated to creating any statistics data to prove cargo theft has increased in USA. Research question: What are
Hi! Need some help on creating anything correlated to creating any statistics data to prove cargo theft has increased in USA.
Research question:
What are some of the economic and national security implications of cargo theft?
Things to reference:
Section 3: Data Summary. You may include one or more of followings:
- Mean, median, standard deviation, etc.
- Histogram, boxplot, scatterplot, qq-plot, etc. -
Or any other summary statistics or visualizations you think is appropriate.
Section 4: Inferences. Based on your research question, you may do one or more of followings: - Hypothesis testing
- Confidence Interval
- Simple linear regression
-Multiple linear regression with variable selection.
Cargo Theft by State | |||||
by Incidents, and Stolen, Recovered Values, 2019 | |||||
State | Number of agencies reporting an incident | Number of incidents reported | Value of property | Percent recovered | |
Stolen | Recovered | ||||
Alaska | 2 | 6 | 4,741 | 0 | 0.0 |
Arkansas | 1 | 1 | 20 | 0 | 0.0 |
Colorado | 6 | 14 | 543,115 | 55,000 | 10.1 |
Delaware | 5 | 12 | 577,534 | 285,000 | 49.3 |
Florida | 19 | 102 | 125,809,354 | 680,322 | 0.5 |
Georgia | 9 | 14 | 288,745 | 0 | 0.0 |
Hawaii | 1 | 2 | 3,440 | 0 | 0.0 |
Idaho | 3 | 4 | 115 | 1 | 0.9 |
Indiana | 3 | 4 | 117,256 | 70,000 | 59.7 |
Kentucky | 20 | 34 | 2,731,532 | 36,289 | 1.3 |
Maine | 2 | 2 | 10 | 0 | 0.0 |
Maryland | 1 | 11 | 72,155 | 6,563 | 9.1 |
Michigan | 14 | 50 | 600,295 | 150,102 | 25.0 |
Minnesota | 1 | 1 | 8,000 | 0 | 0.0 |
Mississippi | 3 | 5 | 14,680 | 0 | 0.0 |
Missouri | 3 | 4 | 61,855 | 1 | * |
Nebraska | 3 | 4 | 8,596 | 7,306 | 85.0 |
New Jersey | 3 | 3 | 392,451 | 0 | 0.0 |
Ohio | 8 | 24 | 443,691 | 242,670 | 54.7 |
Oregon | 3 | 8 | 93,146 | 92,946 | 99.8 |
Rhode Island | 1 | 1 | 23,362 | 0 | 0.0 |
South Dakota | 1 | 1 | 80,000 | 80,000 | 100.0 |
Tennessee | 21 | 238 | 1,918,160 | 500,015 | 26.1 |
Texas | 23 | 128 | 4,881,599 | 1,186,081 | 24.3 |
Utah | 1 | 1 | 1 | 0 | 0.0 |
Virginia | 21 | 27 | 765,084 | 406,019 | 53.1 |
Washington | 6 | 20 | 238,625 | 50,501 | 21.2 |
Total | 184 | 721 | $139,677,562 | $3,848,816 | 2.8 |
Cargo Theft Property Stolen and Recovered | |||
by Type and Value, 2019 | |||
Type of property | Value of property | Percent recovered | |
Stolen | Recovered | ||
Total | $139,677,562 | $3,848,816 | 2.8 |
Aircraft parts, accessories | 530,000 | 500,000 | 94.3 |
Alcohol | 224,308 | 25,429 | 11.3 |
Automobile | 1,160,703 | 557,240 | 48.0 |
Bicycles | 19,600 | 0 | 0.0 |
Building materials | 377,531 | 0 | 0.0 |
Camping, hunting, fishing equipment, supplies | 300 | 0 | 0.0 |
Chemicals | 626 | 320 | 51.1 |
Clothes, furs | 1,975,649 | 3,201 | 0.2 |
Collections, collectibles | 2 | 1 | 50.0 |
Computer hardware, software | 2,534,133 | 83,280 | 3.3 |
Consumable goods | 2,924,734 | 39,252 | 1.3 |
Credit,debit cards1 | 0 | 0 | |
Crops | 7 | 0 | 0.0 |
Documents, personal or business1 | 0 | 0 | |
Drugs, narcotics | 14,701 | 1 | * |
Explosives | 5,774 | 5,000 | 86.6 |
Farm equipment | 1,210 | 0 | 0.0 |
Firearm accessories | 400 | 0 | 0.0 |
Firearms | 16,744 | 0 | 0.0 |
Fuel | 24,604 | 0 | 0.0 |
Household goods | 449,574 | 56,564 | 12.6 |
Identity documents1 | 0 | 0 | |
Identity intangibles1 | 0 | 0 | |
Industrial equipment | 136,061 | 0 | 0.0 |
Jewelry, precious metals | 119,845 | 1 | * |
Lawn, yard, garden equipment | 1,000,100 | 0 | 0.0 |
Logging equipment | 400 | 0 | 0.0 |
Medical, medical lab equipment | 10,450 | 0 | 0.0 |
Merchandise | 1,018,619 | 356,308 | 35.0 |
Metals, non-precious | 226,900 | 0 | 0.0 |
Money | 90,104 | 0 | 0.0 |
Musical instruments | 50 | 0 | 0.0 |
Nonnegotiable instrument1 | 0 | 0 | |
Office equipment | 2,630 | 0 | 0.0 |
Other | 2,076,500 | 184,326 | 8.9 |
Other motor vehicles | 269,001 | 100,002 | 37.2 |
Pending inventory | 10 | 1 | 10.0 |
Portable electronic communications | 474,858 | 6,563 | 1.4 |
Purse, wallet | 6,917 | 502 | 7.3 |
Radio, TV, VCR | 108,378 | 500 | 0.5 |
Recordings | 120,033,130 | 0 | 0.0 |
Recreational vehicles | 2 | 1 | 50.0 |
Structure, other | 10,000 | 0 | 0.0 |
Structure, storage | 1 | 0 | 0.0 |
Tools | 263,023 | 218 | 0.1 |
Trailers | 903,592 | 435,001 | 48.1 |
Trucks | 2,143,103 | 1,493,104 | 69.7 |
Vehicle parts | 523,288 | 2,001 | 0.4 |
Cargo Theft by Location, 2019 | |
Location type | Total locations |
Air, bus, train terminal | 71 |
Auto dealership new, used | 2 |
Commercial, office building | 65 |
Construction site | 4 |
Convenience store | 38 |
Cyberspace | 1 |
Department, discount store | 13 |
Dock, wharf, freight, modal terminal | 51 |
Drug store, doctor's office, hospital | 5 |
Farm facility | 3 |
Field, woods | 14 |
Government, public building | 5 |
Grocery, supermarket | 10 |
Highway, road, alley, street, sidewalk | 89 |
Hotel, motel, etc. | 5 |
Industrial site | 17 |
Liquor store | 4 |
Parking, drop lot, garage | 236 |
Park, playground | 4 |
Rental storage facility | 5 |
Residence, home | 33 |
Rest area | 2 |
Restaurant | 6 |
School, college | 1 |
Service, gas station | 46 |
Specialty store (TV, fur, etc.) | 5 |
Other, unknown | 37 |
Cargo Theft by Victim Type, 2019 | |
Victim type | Total victims |
Business | 562 |
Financial Institution | 1 |
Government | 3 |
Individual | 159 |
Other | 5 |
Society, public | 4 |
Unknown | 24 |
Table 5 | |
Cargo Theft by Offense, 2019 | |
Offense | Number reported |
Grand total of offenses | 785 |
Cargo theft applicable offenses | |
All other larceny | 251 |
Burglary | 48 |
Embezzlement | 12 |
False pretenses, swindle, confidence game | 7 |
Impersonation | 2 |
Motor vehicle theft | 92 |
Robbery | 3 |
Theft from building | 15 |
Theft from motor vehicle | 322 |
Total cargo theft applicable offenses | 752 |
Other offenses occurring with cargo offenses | |
Counterfeiting, forgery | 1 |
Destruction of property | 23 |
Drug equipment violations | 2 |
Drug, narcotic violations | 3 |
Simple assault | 1 |
Stolen property offense | 2 |
Weapon law | 1 |
Total other offenses occurring with cargo offense | 33 |
For reference you can look at the data tables on this page:
https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-2019/additional-data-collections/cargo-theft
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