The Bureau of Transportation Statistics (BTS) Border Crossing Data provide summary statistics for inbound crossings at the U.S.-Canada and the U.S.-Mexico border at the port level. Data are available for trucks, trains, containers, buses, personal vehicles, passengers, and pedestrians. Border crossing data are collected at ports of entry by U.S. Customs and Border Protection (CBP). The data reflect the number of vehicles, containers, passengers or pedestrians entering the United States. CBP does not collect comparable data on outbound crossings. Users seeking data on outbound counts may therefore want to review data from individual bridge operators, border state governments, or the Mexican and Canadian governments.

This dataset contains all the incidents of crossing the border into the US as provided by the Bureau of Transportation Statistics, Govt. of the US. This dataset tells about the incoming counts into the US.

This can prove to be a vital dataset to predict the average incoming counts into the future seeing the current trend. A primary look tells us that 77% of the incidents marked in the dataset consisted of US-Canada border meaning Canadians have tended to come in more frequently into the US as compared to the Mexicans.

This data can also prove to useful to predict the daily or weekly or monthly or annual traffic that's going to accumulate on the borders so that the authorities can be aware of the number beforehand.

Number of vehicles travelling between Canada and the United States, by trip characteristics, length of stay and type of transportation. Data available monthly.

Monthly Border Wait times in the land mode broken down by port of entry. Note: The CBSA’s Border Wait Times dataset contain data intended for travellers entering Canada. A US-bound historical border wait times dataset is available from the U.S. Department of Transportation’s Bureau of Transportation Statistics. Please visit their Border Crossing/Entry Data web page to access their dataset.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the distribution of the Canadian population, circa 1951. Population sizes are indicated on the map by representative units of 50 or 1000. In southern Canada, the population of the 15 metropolitan areas and urban centres of 25 000 inhabitants and over is shown by a disc, the area of which is proportional to its population. The scale ranges from metropolitan Montreal (1 395 400 inhabitants) to Glace Bay (25 586 inhabitants). There are still very small populations in northern Canada, but there are clusters within Capital cities, and a even larger concentration south, near the U.S. border, in particular along ocean or inland coastlines. The congregation near or on the coastline of water indicate the influence of industry, natural resources and trade. Two graphs accompany this map. The first graph shows the numerical distribution of population for 1951 by Canada, the provinces and the territories. The second graph shows the percentage distribution of population for 1951 by province and territory.

This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

The table is part of Frontier Counts. The data comes from the Integrated Primary Inspection Line (IPIL), from the Canada Border Services Agency (CBSA). Keywords include: arrival, crew, entry, international, port of entry, tourism, travel, traveller, visit and visitor.

This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

This dataset consists of short-term (less than 39 years) shoreline change rates for the mainland coast of Alaska sheltered by barrier islands from the U.S. Canadian Border to the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2017. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the distribution of the Canadian population, circa 1951. Population sizes are indicated on the map by representative units of 50 or 1000. In southern Canada, the population of the 15 metropolitan areas and urban centres of 25 000 inhabitants and over is shown by a disc, the area of which is proportional to its population. The scale ranges from metropolitan Montreal (1 395 400 inhabitants) to Glace Bay (25 586 inhabitants). There are still very small populations in northern Canada, but there are clusters within Capital cities, and a even larger concentration south, near the U.S. border, in particular along ocean or inland coastlines. The congregation near or on the coastline of water indicate the influence of industry, natural resources and trade. Two graphs accompany this map. The first graph shows the numerical distribution of population for 1951 by Canada, the provinces and the territories. The second graph shows the percentage distribution of population for 1951 by province and territory.

This dataset consists of long-term (70 years) shoreline change rates for the exposed, open-ocean coast of Alaska from the U.S. Canadian Border to the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2017. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Canada and United States bilateral trade in goods data produced by Statistics Canada and the United States Census Bureau (customs basis) and the United States Bureau of Economic Analysis (balance of payments basis). Data are presented before and after adjustments made to standardize definitions. Quarterly data are available on Customs and on Balance of payments basis and are not seasonally adjusted.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. In this study, researchers used capture-recapture sampling and multiple data sources to gauge the impact of drug trafficking in Quebec, Canada on the United States drug market. The main analyses were based on arrest data that were obtained for Quebec. In addition, analysis of the chemical composition and price assessments of the Quebec synthetic drugs was done. The study includes one SPSS data file (Quebec Arrest Data (Synthetic Drugs Cases, September 2014; n=20261)-ICPSR.sav ; n=20,261 ; 13 variables) and one Excel data file (Chemical composition of seized synthetic drugs.xls ; n=365 ; 14 variables). Spatial analyses of border seizure data was performed by the researchers, but these data are not available at this time. The data used for these analyses concerned synthetic drug seizures at Canadian borders from 2007 to 2012. The dataset was provided by the Canadian Border Services Agency (CBSA). For each seizure, the specific border crossing where the seizure was made was provided, as well as the value of the seizure (except for precursors), the country of origin and the type of drug seized. The types of drugs were classified into five types: (1) Precursors, (2) MDMA, (3) Amphetamine, (4) Methamphetamine and (5) Others. Most of the seizures (86.6 percent) were classified in this last category. The country of origin of the seizure was also provided.