This commuter mode share data shows the estimated percentages of commuters in Champaign County who traveled to work using each of the following modes: drove alone in an automobile; carpooled; took public transportation; walked; biked; went by motorcycle, taxi, or other means; and worked at home. Commuter mode share data can illustrate the use of and demand for transit services and active transportation facilities, as well as for automobile-focused transportation projects.

Driving alone in an automobile is by far the most prevalent means of getting to work in Champaign County, accounting for over 69 percent of all work trips in 2023. This is the same rate as 2019, and the first increase since 2017, both years being before the COVID-19 pandemic began.

The percentage of workers who commuted by all other means to a workplace outside the home also decreased from 2019 to 2021, most of these modes reaching a record low since this data first started being tracked in 2005. The percentage of people carpooling to work in 2023 was lower than every year except 2016 since this data first started being tracked in 2005. The percentage of people walking to work increased from 2022 to 2023, but this increase is not statistically significant.

Meanwhile, the percentage of people in Champaign County who worked at home more than quadrupled from 2019 to 2021, reaching a record high over 18 percent. It is a safe assumption that this can be attributed to the increase of employers allowing employees to work at home when the COVID-19 pandemic began in 2020.

The work from home figure decreased to 11.2 percent in 2023, but which is the first statistically significant decrease since the pandemic began. However, this figure is still about 2.5 times higher than 2019, even with the COVID-19 emergency ending in 2023.

Commuter mode share data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Means of Transportation to Work.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (18 September 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (10 October 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (14 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (26 March 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using data.census.gov; (26 March 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S0801; generated by CCRPC staff; using American FactFinder; (16 March 2016).

Abstract copyright UK Data Service and data collection copyright owner.

The aim of the Mixed Modes and Measurement Error study was to increase our understanding about the causes and consequences of mixing modes in order to improve survey research quality, and to provide practical advice on how to improve portability of questions across modes, in particular to answer the following questions: which mode combinations are likely to produce comparable responses? And which types of questions are more susceptible to mode effects? The project ran from 2007-2011, with data collection taking place in 2009.

Increasing pressures of falling response rates and rising costs of survey operations have led many to explore the potential benefits of combining different modes of survey data collection, such as face-to-interviewing, telephone interviewing, postal surveys and web surveys. The drawback of using more than one mode is that the data may not be comparable if people give different answers depending on the mode of data collection. There is a need for practical advice to inform decisions about when and how to mix modes, since survey designers are making these decisions in an ad hoc manner, driven by considerations of costs and response rates, but often ignoring the potential impact on data comparability.

Constructing the sample
The samples for the mixed mode experiment consisted of respondents from two previous surveys who had agreed to be re-contacted:
1. The NatCen Omnibus survey (not currently held at the UK Data Archive; two rounds of data collection administered in July/August 2008 and September/October 2008. The NatCen Omnibus survey is based on a probability sample of adults aged 16 and over in Great Britain, whereby clients are able to buy questionnaire space on topical issues. The survey is administered quarterly to a fresh sample of respondents and 1,600 interviews are administered face-to-face using CAPI (Computer Assisted Personal Interview).
2. The British Household Panel Study (BHPS) (held at the Archive under SN 5151); a sub-sample of Wave 18 respondents (surveyed September-December 2008). The BHPS has become part of the UK Household Longitudinal Survey now known as ‘Understanding Society’. It is managed by the Institute for Social and Economic Research at the University of Essex and is funded by the Economic and Social Research Council. Its main objective is to further understanding of social and economic change at the individual and household level in Britain and the UK. It is based on an original probability sample of 5,000 households in Great Britain in 1991. Individuals from these households have continued to be followed annually ever since, and are therefore seasoned panel members. The interviews are conducted face-to-face using CAPI.


Main Topics:

The main purpose of data collection was methodological rather than substantive. It was essential that the survey should cover the full range of question types relevant to the hypotheses being tested (e.g. difficult versus easy questions, long response lists versus short response lists, branching, code all that apply questions, agree/disagree scales as well as other rating scales, fully labelled versus end labelled scales). Wherever possible, existing questions from other surveys were included in the questionnaire covering a range of topics such as management of personal finances, personal health, national identity, views about Great Britain (e.g. democracy, standard of living and economy), and views about their neighbourhood.

"RADARSAT-1&2 full archive and new tasking products are available in several different beam modes. RADARSAT-1 PRODUCTS The Standard beam mode operates with any one of seven beam positions, referred to as S1 to S7. The nominal incidence angle range covered by the full set of Standard beams is from 20 degrees (at the inner edge of S1) to 49 degrees (at the outer edge of S7). Each individual beam covers a minimum ground swath of 100 km within the total 500 km accessibility swath of the full set of Standard beams. The nominal spatial resolution in the range direction is 26 m for S1 at near range to 20 m for S7 at far range. The nominal azimuth resolution is the same, 27 m, for all beam positions. The Wide beam modes are similar to the Standard beams except that the swath width achieved by this beam is 150 km rather than 100 km. As a result, only three Wide beams, W1, W2 and W3 are necessary to provide coverage of almost all of the 500 km swath range. They provide comparable resolution to the standard beam mode, though the increased ground swath coverage is obtained at the expense of a slight reduction in overall image quality. In the Fine beam mode the nominal azimuth resolution is 8.4 m, with range resolution 9.1 m to 7.8 m from F1 to F5. Since the radar operates with a higher sampling rate in this mode than in any of the other beam mode, the ground swath coverage has to be reduced to approximately 50 km in order to keep the downlink signal within its allocated bandwidth. Originally, five Fine beam positions, F1 to F5, were available to cover the far range of the swath with an incidence angle range from 37 to 47 degrees. By modifying timing parameters, 10 new positions have been added with offset ground coverage. Each original Fine beam position can either be shifted closer to or further away from Nadir. In Extended High beam mode six positions, EH1 to EH6, are available for collection of data in the 49 to 60 degree incidence angle range. Since this beam mode operates outside the optimum scan angle range of the SAR antenna, some minor degradation of image quality can be expected when compared with the Standard beam mode. Swath widths are restricted to a nominal 80 km for the inner three positions, and 70 km for the outer three positions. In Extended Low beam mode one position, EL1, is provided for imaging in the incidence angle range 10 to 23 degrees with nominal ground swath coverage of 170 km. As with the Extended High beam mode, some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum elevation angle range. In ScanSAR mode, combinations of two, three or four single beams are used during data collection. Each beam is selected sequentially so that data is collected from a wider swath than possible with a single beam. The beam switching rates are chosen to ensure at least one "look" at the Earth's surface for each beam within the along track illumination time or dwell time of the antenna beam. In practice, the radar beam switching is adjusted to provide two looks per beam. The beam multiplexing inherent in ScanSAR operation reduces the effective sampling rate within each of the component beams; hence the increased swath coverage is obtained at the expense of spatial resolution. The ScanSAR Narrow mode combines two beams (incidence angle range of 20 to 39 degrees) or three beams (incidence angle from 31 to 46 degrees) and provides coverage of a nominal 300 km ground swath, with spatial resolution of 50 m. The ScanSAR Wide mode combines four beams, provides coverage of either 500 km (with incidence angle range of 20 to 49 degrees) or 450 km (incidence angle range from 20 to 46 degrees) nominal ground swaths depending on the beam combination. Beam Mode| Product| Ground coverage (km2)| Nominal resolution (m)| Polarisation| ScanSAR wide| SCW, SCF, SCS| 500 x 500| 100| Single and dual| ScanSAR narrow| SCN, SCF, SCS| 300 x 300| 60| Single and dual| Wide| SGF, SGX, SLC, SSG, SPG| 150 x 150| 24| Single and dual| Standard| SGF, SGX, SLC, SSG, SPG| 100 x 100| 24| Single| Extended low| SGF, SGX, SLC, SSG, SPG| 170 x 170| 24| Single| Extended high| SGF, SGX, SLC, SSG, SPG| 75 x 75| 24| Single| Fine| SGF, SGX, SLC, SSG, SPG| 50 x 50| 8| Single| RADARSAT-2 PRODUCTS The Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8. The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. The Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. The Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. In the Standard Quad Polarization Beam Mode, the radar transmits pulses alternately in horizontal (H) and vertical (V) polarisations, and receives the return signals from each pulse in both H and V polarisations separately but simultaneously. This beam mode therefore enables full polarimetric (HH+VV+HV+VH) image products to be generated. The Standard Quad Polarization Beam Mode operates with the same pulse bandwidths as the Standard Beam Mode. Products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Standard Quad Polarization Beam Mode operates the same way as the Standard Quad Polarization Beam Mode but with higher data acquisition rates, and offers wider swaths of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Fine Quad Polarization Beam Mode provides full polarimetric imaging with the same spatial resolution as the Fine Resolution Beam Mode. Fine Quad Polarization Beam Mode products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Fine Quad Polarization Beam Mode operates the same way as the Fine Quad Polarization Beam Mode but with higher data acquisition rates, and offers a wider swath of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Multi-Look Fine Resolution Beam Mode covers the same swaths as the Fine Resolution Beam Mode. Products with multiple looks in range and azimuth are generated at approximately the same spatial resolution as Fine Resolution Beam mode products, but with multiple looks and therefore improved radiometric resolution. Single look products are generated at finer spatial resolutions than Fine Resolution Beam Mode products. In order to obtain the multiple looks without a reduction in swath width, this beam mode operates with higher data acquisition rates and noise levels than Fine Resolution Beam Mode. As with

The principal purpose of the study was to identify and describe the factors which effect the choice of means of transportation for a longer private journey. Long journey here refers to trips of more than 100 km (one way). Private journey is defined as all travel with the exception of business, work, educational and military service trips. Information was collected by means of a postal questionnaire and home interviews. The primary purpose of the questionnaire was to select respondents for the interview who had undertaken at least one long journey during a three-month period, and who also could choose their means of travel. The interview contained questions about the purpose of the journey, number of nights away, means of transport used and company travelled with. The respondent had to indicate if other means of transport were considered and the importance of costs and travelling time.

Purpose:

Describe the factors which effect the choice of means of transportation for a longer privat journey

Misperceptions of the social world can lead to actions and social policy that are detrimental to an individual’s or group’s well-being. Here we investigate whether misperceptions arise when participants make predictions of the modal number of ideal future sexual partners reported by heterosexual cohorts (younger cohort: 18–23 years; older cohort: 24–29 years). For both men and women and in both cohorts, the modal number of reported partners equaled 1.0, but men’s averages were higher than women’s averages due to a subgroup of men who reported desiring large numbers of partners (that is, the distributions had the same shape, but men’s distributions had a longer tail). Study 1: When asked to estimate the mode directly, participants performed poorly and, in some conditions, dramatically so (e.g., 40% of younger men reported wanting one sexual partner, but 0% of younger men predicted 1 to be the most frequent response). Study 2: When asked to estimate the shape of the whole distribution, participants underestimated the number of respondents who would desire the mode and thus replicated patterns in the literature for misestimations of skewed distributions. Study 3: When provided information about others’ actual modal desired number of partners, the number of male participants who reported desiring one sexual partner increased, suggesting that misperceptions of social norms may influence preferences. We discuss how the mean and mode can lead to two accurate but different interpretations of the data (mean: men report desiring more sexual partners than women; mode: the most frequent response reported by both men and women is 1.0). Discrepancies of this sort can lead to mischaracterizations that may not be uncommon in the research literature. These discrepancies cannot be differentiated by significance tests that seek to find differences in the mean but can be resolved with attention to other methods of analyses.

How many people play Fortnite? After bursting onto the scene in 2017, Fortnite has since become a worldwide phenomenon, amassing 650 million players across the globe as of November 2023, up from 400 million in May 2021. Why is Fortnite so popular? The reasons Fortnite has become such a global hit are clear. Not only is the game free to play, but it is also available on most gaming platforms. On top of this, Fortnite's most popular gameplay mode is the battle royale mode, in which up to 100 players fight it at once. This means that the re-playability of the game is infinite – each game is unique. Keeping players engaged with live services Fortnite Battle Royale is also a live service game, meaning that the game receives regular content updates to keep players engaged. Each season of the game roughly lasts 10 weeks and features events such as online concerts, and cosmetic changes. The game’s current iteration is called "鬼HUNTERS (Demon HUNTERS)" with a theme around yōkai, hunters and Japanese culture. Live service games are here to stay By offering cross-platform, multiplayer gaming with a live service schedule, Fortnite covers two of the biggest gaming industry trends, which the majority of the industry intend to follow. A 2023 of global gaming studios found that more than nine in ten studios were either working on or intending to release a live services title. With regular, cadenced, and themed updates to free-to-play games, studios motivate players to keep returning and, eventually, spend not only time but also money on the game. This seems to work for the parent company Epic Games – Fortnite was one of the most downloaded PlayStation F2P game in the EU and North America in 2024.

The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. Beam Mode Product Nominal Resolution (metres) Nominal Pixel Spacing Range x Azimuth (metres) Resolution Range x Azimuth (metres) Nominal Scene Size Range x Azimuth (kilometres) Range of Angle of Incidence (degrees) Number of Looks Range x Azimuth Polarisations Options Standard SLC 25 8.0 or 11.8 x 5.1 9.0 or 13.5 x 7.7 100 x 100 20 - 52 1 x 1 Single Pol HH or VV or HV or VH - or - Dual HH + HV or VV + VH SGX 8.0 x 8.0 26.8 - 17.3 x 24.7 1 x 4 SGF 12.5 x 12.5 SSG, SPG Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. Beam Mode Product Nominal Resolution (metres) Nominal Pixel Spacing Range x Azimuth (metres) Resolution Range x Azimuth (metres) Nominal Scene Size Range x Azimuth (kilometres) Range of Angle of Incidence (degrees) Number of Looks Range x Azimuth Polarisations Options Wide SLC 30 11.8 x 5.1 13.5 x 7.7 150 x 150 20 - 45 1 x 1 Single: Pol HH or VV or HV or VH - or - Dual: HH + HV or VV + VH SGX 10 x 10 40.0 - 19.2 x 24.7 1 x 4 SGF 12.5 x 12.5 SSG, SPG Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. Beam Mode Product Nominal resolution (metres) Nominal Pixel Spacing Range x Azimuth (metres) Resolution Range x Azimuth (metres) Nominal Scene Size Range x Azimuth (kilometres) Range of Angle of Incidence (degrees) Number of Looks Range x Azimuth Polarisations Options Fine SLC 8 4.7 x 5.1 5.2 x 7.7 50 x 50 30 - 50 1 x 1 Single: Pol HH or VV or HV or VH - or - Dual: HH + HV or VV + VH SGX 3.13 x 3.13 10.4 - 6.8 x 7.7 1 x 1 SGF 6.25 x 6.25 SSG, SPG In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. Beam Mode Product Nominal resolution (metres) Nominal Pixel Spacing Range x Azimuth (metres) Resolution Range x Azimuth (metres) Nominal Scene Size Range x Azimuth (kilometres) Range of Angle of Incidence (degrees) Number of Looks Range x Azimuth Polarisations Options Extended Low SLC 25 8.0 x 5.1 9.0 x 7.7 170 x 170 10 - 23 1 x 1 Single: HH SGX 10.0 x 10.0 52.7 - 23.3 x 24.7 1 x 4 SGF 12.5 x 12.5 SSG, SPG In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. Beam Mode Product Nominal resolution (metres) Nominal Pixel Spacing Range x Azimuth (metres) Resolution Range x Azimuth (metres) Nominal Scene Size Range x Azimuth (kilometres) Range of Angle of Incidence (degrees) Num...

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

This dataset includes six tables which were custom ordered from Statistics Canada. All tables include commuting characteristics (mode of commuting, duration/distance), labour characteristics (employment income groups in 2015, Industry by the North American Industry Classification System 2012), and visible minority groups. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and variables: Geography: Place of Work (POW), Census Tract (CT) within CMA Vancouver. The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. However, it will be provided upon request. GNR values for POR and POW are different for each geography. Universe: The Employed Labour Force having a usual place of work for the population aged 15 years and over in private households that are rented (Tenure rented), full year-full time workers (40-52weeks) Variables: Visible minority (15) 1. Total - Visible minority 2. Total visible minority population 3. South Asian 4. Chinese 5. Black 6. Filipino 7. Latin American 8. Arab 9. Southeast Asian 10. West Asian 11. Korean 12. Japanese 13. Visible minority, n.i.e. 14. Multiple visible minorities 15. Not a visible minority Commuting duration and distance (18) 1. Total - Commuting duration 2. Less than 15 minutes 3. 15 to 29 minutes 4. 30 to 44 minutes 5. 45 to 59 minutes 6. 60 minutes and over 7. Total - Commuting distance 8. Less than 1 km 9. 1 to 2.9 km 10. 3 to 4.9 km 11. 5 to 6.9 km 12. 7 to 9.9 km 13. 10 to 14.9 km 14. 15 to 19.9 km 15. 20 to 24.9 Km 16. 25 to 29.9 km 17. 30 to 34.9 km 18. 35 km or more Main mode of commuting (7) 1. Total - Main mode of commuting 2. Driver, alone 3. 2 or more persons shared the ride to work 4. Public transit 5. Walked 6. Bicycle 7. Other method Employment income groups in 2015 (39) 1. Total – Total Employment income groups in 2015 2. Without employment income 3. With employment income 4. Less than $30,000 (including loss) 5. $30,000 to $79,999 6. $30,000 to $39,999 7. $40,000 to $49,999 8. $50,000 to $59,999 9. $60,000 to $69,999 10. $70,000 to $79,999 11. $80,000 and above 12. Median employment income ($) 13. Average employment income ($) 14. Total – Male Employment income groups in 2015 15. Without employment income 16. With employment income 17. Less than $30,000 (including loss) 18. $30,000 to $79,999 19. $30,000 to $39,999 20. $40,000 to $49,999 21. $50,000 to $59,999 22. $60,000 to $69,999 23. $70,000 to $79,999 24. $80,000 and above 25. Median employment income ($) 26. Average employment income ($) 27. Total – Female Employment income groups in 2015 28. Without employment income 29. With employment income 30. Less than $30,000 (including loss) 31. $30,000 to $79,999 32. $30,000 to $39,999 33. $40,000 to $49,999 34. $50,000 to $59,999 35. $60,000 to $69,999 36. $70,000 to $79,999 37. $80,000 and above 38. Median employment income ($) 39. Average employment income ($) Industry - North American Industry Classification System (NAICS) 2012 (54) 1. Total - Industry - North American Industry Classification System (NAICS) 2012 2. 11 Agriculture, forestry, fishing and hunting 3. 21 Mining, quarrying, and oil and gas extraction 4. 22 Utilities 5. 23 Construction 6. 236 Construction of buildings 7. 237 Heavy and civil engineering construction 8. 238 Specialty trade contractors 9. 31-33 Manufacturing 10. 311 Food manufacturing 11. 41 Wholesale trade 12. 44-45 Retail trade 13. 441 Motor vehicle and parts dealers 14. 442 Furniture and home furnishings stores 15. 443 Electronics and appliance stores 16. 444 Building material and garden equipment and supplies dealers 17. 445 Food and beverage stores 18. 446 Health and personal care stores 19. 447 Gasoline stations 20. 448 Clothing and clothing accessories stores 21. 451 Sporting goods, hobby, book and music stores 22. 452 General merchandise stores 23. 453 Miscellaneous store retailers 24. 454 Non-store retailers 25. 48-49 Transportation and warehousing 26. 481 Air transportation 27. 482 Rail transportation 28. 483 Water...

The short surface ocean residence times of 1-2 days over Palmer Deep is in conflict with the prevailing hypotheses that local growth support phytoplankton at the base of the food web in these biological hotspots. Instead, the implication is that horizontal dynamics are likely more important to maintaining these biological hotspots than local upwelling. However, coincident measures of phytoplankton, prey fields, and predator locations in their advective context have not been made to establish the ecological importance of horizontal flow. In this project, we will simultaneously sample across the entire food web from the phytoplankton and prey fields to the top predators to understand the ocean features that support life in these polar systems. For the first time in this region, we will integrate these glider deployed sensors with moored, remote sensed and small boat platforms to simultaneously map phytoplankton blooms, krill aggregations, and top predator foraging relative to dynamic ocean features. This dataset contains temperature, salinity, chlorophyll_a, CDOM, beta_700nm and oxygen profiles. This is a delayed mode dataset created from the high resolution files downloaded after the glider was recovered. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=Funding provided by the National Science Foundation cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id cdm_trajectory_variables=trajectory comment=Deployed by Matt Oliver, Katherine Hudson, Ashley Hann, Greg Larsen, Ari Friedlander aboard Palmer Zodiac #7. Deployments supported by ASC and the PAL-LTER team contributor_name=Oscar Schofield,Josh Kohut,Matt Oliver,Hank Statscewich,Katherine Hudson,Dave Aragon,Nicole Waite,Chip Haldeman,Laura Nazzaro,John Kerfoot contributor_role=Principal Investigator,Principal Investigator,Principal Investigator,Principal Investigator,Graduate Student,Glider Pilot,Glider Pilot,Glider Pilot,Data Manager,Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=temperature,depth,time&time>=max(time)-1days&temperature!=NaN&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse deployment_name=ru32-20200111T1444 Easternmost_Easting=-63.99585833333334 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((-64.84696639099781 -64.12389427389887, -64.84696639099781 -64.11881285116812, -64.84741675120638 -64.11881285116812, -64.84741675120638 -64.12389427389887, -64.84696639099781 -64.12389427389887)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=-64.82073999999999 geospatial_lat_min=-64.99307999999999 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-63.99585833333334 geospatial_lon_min=-64.46028137239344 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=907.7445 geospatial_vertical_min=-0.4455926 geospatial_vertical_positive=down geospatial_vertical_units=m history=2020-11-17T04:25:01Z: /tmp/tmpn_7ixizt/ru32_20200311T021547Z_dbdi3bo50f5.nc created 2020-11-17T04:25:01Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2020/ru32-20200111T1444/data/in/ascii/dbd/ru32_2020_065_0_99_dbd.dat

id=ru32-20200111T1444 infoUrl=https://rucool.marine.rutgers.edu institution=Rutgers University,University of Delaware,University of Alaska Fairbanks instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=-64.82073999999999 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. No quality control provided. Delayed mode datase.t program=SWARM project=SWARM references=https://lternet.edu/site/palmer-antarctica-lter/,https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=7671 sea_name=Southern Ocean source=Observational Slocum glider data from source dba file ru32-2020-065-0-99-dbd(01420099) sourceUrl=(local files) Southernmost_Northing=-64.99307999999999 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file, profile_id, profile_lat, profile_lon, profile_time time_coverage_duration=PT28M03.53455S time_coverage_end=2020-03-11T14:03:55Z time_coverage_resolution=PTS time_coverage_start=2020-01-11T14:48:40Z uuid=70a53ca9-cbb8-4db4-b963-d17f7cc3e022 Westernmost_Easting=-64.46028137239344 wmo_id=7801506