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U S Census - One of the best experts on this subject based on the ideXlab platform.
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2014 2018 acs sex by age by veteran status for the civilian population 18 years and over based on 2010 census tracts
2019Co-Authors: U S CensusAbstract:US Census American Community Survey (2014-2018) data table for: VETERAN STATUS subject area. Provides information about: SEX BY AGE BY VETERAN STATUS FOR THE CIVILIAN POPULATION 18 YEARS AND OVER for the universe of: CIVILIAN POPULATION 18 YEARS AND OVER. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B21001_SEXAGEVETSTATUS contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 39 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section. This table information is also provided as a customized layer file: B21001_AREA_SEXAGEVETSTATUS.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2014-2018) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1418' and 'M1418' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2015 through 2019 - will become available at the end of 2020. The new 2018 data will be posted to the Spatial Data Warehouse by January 2020. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed.
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2013 2017 acs sex by age by veteran status for the civilian population 18 years and over based on 2010 census tracts
plibrary2 census shapes table acs_b21001_sexagevetstatus.dbf, 2019Co-Authors: U S CensusAbstract:US Census American Community Survey (2013-2017) data table for: VETERAN STATUS subject area. Provides information about: SEX BY AGE BY VETERAN STATUS FOR THE CIVILIAN POPULATION 18 YEARS AND OVER for the universe of: CIVILIAN POPULATION 18 YEARS AND OVER. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B21001_SEXAGEVETSTATUS contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 39 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section. This table information is also provided as a customized layer file: B21001_AREA_SEXAGEVETSTATUS.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2013-2017) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1317' and 'M1317' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2014 through 2018 - will become available at the end of 2019. The new 2017 data will be posted to the Spatial Data Warehouse by January 2019. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed.
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2010 tracts joined to acs 2013 2017 table sex by age by veteran status for the civilian population 18 years and over
plibrary census ACS_B21001_AREA_SEXAGEVETSTATUS.lyr, 2019Co-Authors: U S CensusAbstract:ARCGIS LYR File - ACS_B21001_AREA_SEXAGEVETSTATUS: 2010 Census Tracts joined to B21001 business table. Business table is US Census American Community Survey (2013-2017) data table for: VETERAN STATUS subject area. Provides information about: SEX BY AGE BY VETERAN STATUS FOR THE CIVILIAN POPULATION 18 YEARS AND OVER for the universe of: CIVILIAN POPULATION 18 YEARS AND OVER. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. This Layer File contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 39 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided via the link in the Supplemental Information section. This table information is also provided as a stand-alone table named: ACS_B21001_SEXAGEVETSTATUS. Both the table and customized layer file name do not contain the year descriptor (i.e. 2013-2017) for the current ACS series. This is intentional in order to maintain the same table\layer file name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores the vintage information as beginning YY and ending YY, i.e., 'E1317' and 'M1317' followed by the rest of the alias name. In this way users of the data tables or layer files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2014 through 2018 - will become available at the end of 2019. The new 2017 data will be posted to the Spatial Data Warehouse, and hosted on the Open Data site by January 2019. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed. The description of the attributes that are in the business table joined to TRACTS10_AREA are not repeated here in this layer file metadata. The table metadata, accessible from the link in the Supplemental information section, can be viewed to review the item descriptions.
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2013 2017 acs median household income in the past 12 months in inflation adjusted dollars by household size based on 2010 census tracts
plibrary2 census shapes table acs_b19019_medianhsehldincomebysize.dbf, 2019Co-Authors: U S CensusAbstract:US Census American Community Survey (2013-2017) data table for: INCOME subject area. Provides information about: MEDIAN HOUSEHOLD INCOME IN THE PAST 12 MONTHS (IN INFLATION-ADJUSTED DOLLARS) BY HOUSEHOLD SIZE for the universe of: HOUSEHOLDS. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B19019_MEDIANHSEHLDINCOMEBYSIZE contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 8 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section. This table information is also provided as a customized layer file: B19019_AREA_MEDIANHSEHLDINCOMEBYSIZE.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2013-2017) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1317' and 'M1317' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2014 through 2018 - will become available at the end of 2019. The new 2017 data will be posted to the Spatial Data Warehouse by January 2019. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed.
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2013 2017 acs median family income in the past 12 months in inflation adjusted dollars based on 2010 census tracts
plibrary2 census shapes table acs_b19113_medianfamilyincome.dbf, 2019Co-Authors: U S CensusAbstract:US Census American Community Survey (2013-2017) data table for: INCOME subject area. Provides information about: MEDIAN FAMILY INCOME IN THE PAST 12 MONTHS (IN INFLATION-ADJUSTED DOLLARS) for the universe of: FAMILIES. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B19113_MEDIANFAMILYINCOME contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 1 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section. This table information is also provided as a customized layer file: B19113_AREA_MEDIANFAMILYINCOME.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2013-2017) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1317' and 'M1317' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents. The next 5-year sample of ACS, representing the current year minus 1, becomes available in December of each year. For example, the next series - 2014 through 2018 - will become available at the end of 2019. The new 2017 data will be posted to the Spatial Data Warehouse by January 2019. The previous series of data is retired to the Historical Data Library geodatabase (according to the ACS series end date) from where it can be accessed if needed.
Gulnara Yusupova - One of the best experts on this subject based on the ideXlab platform.
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the ribosome prohibits the g u wobble geometry at the first position of the codon anticodon helix
Nucleic Acids Research, 2016Co-Authors: A Rozov, Eric Westhof, Marat Yusupov, Gulnara YusupovaAbstract:Precise conversion of genetic information into proteins is essential to cellular health. However, a Margin of Error exists and is at its highest on the stage of translation of mRNA by the ribosome. Here we present three crystal structures of 70S ribosome complexes with messenger RNA and transfer RNAs and show that when a G•U base pair is at the first position of the codon-anticodon helix a conventional wobble pair cannot form because of inescapable steric clash between the guanosine of the A codon and the key nucleotide of decoding center adenosine 1493 of 16S rRNA. In our structure the rigid ribosomal decoding center, which is identically shaped for cognate or near-cognate tRNAs, forces this pair to adopt a geometry close to that of a canonical G•C pair. We further strengthen our hypothesis that spatial mimicry due either to base tautomerism or ionization dominates the translation infidelity mechanism.
Nancy A Denton - One of the best experts on this subject based on the ideXlab platform.
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measuring residential segregation with the acs how the Margin of Error affects the dissimilarity index
Demography, 2017Co-Authors: Jeffrey Napierala, Nancy A DentonAbstract:The American Community Survey (ACS) provides valuable, timely population estimates but with increased levels of sampling Error. Although the Margin of Error is included with aggregate estimates, it has not been incorporated into segregation indexes. With the increasing levels of diversity in small and large places throughout the United States comes a need to track accurately and study changes in racial and ethnic segregation between censuses. The 2005–2009 ACS is used to calculate three dissimilarity indexes (D) for all core-based statistical areas (CBSAs) in the United States. We introduce a simulation method for computing segregation indexes and examine them with particular regard to the size of the CBSAs. Additionally, a subset of CBSAs is used to explore how ACS indexes differ from those computed using the 2000 and 2010 censuses. Findings suggest that the precision and accuracy of D from the ACS is influenced by a number of factors, including the number of tracts and minority population size. For smaller areas, point estimates systematically overstate actual levels of segregation, and large confidence intervals lead to limited statistical power.
A Rozov - One of the best experts on this subject based on the ideXlab platform.
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the ribosome prohibits the g u wobble geometry at the first position of the codon anticodon helix
Nucleic Acids Research, 2016Co-Authors: A Rozov, Eric Westhof, Marat Yusupov, Gulnara YusupovaAbstract:Precise conversion of genetic information into proteins is essential to cellular health. However, a Margin of Error exists and is at its highest on the stage of translation of mRNA by the ribosome. Here we present three crystal structures of 70S ribosome complexes with messenger RNA and transfer RNAs and show that when a G•U base pair is at the first position of the codon-anticodon helix a conventional wobble pair cannot form because of inescapable steric clash between the guanosine of the A codon and the key nucleotide of decoding center adenosine 1493 of 16S rRNA. In our structure the rigid ribosomal decoding center, which is identically shaped for cognate or near-cognate tRNAs, forces this pair to adopt a geometry close to that of a canonical G•C pair. We further strengthen our hypothesis that spatial mimicry due either to base tautomerism or ionization dominates the translation infidelity mechanism.
Jeffrey Napierala - One of the best experts on this subject based on the ideXlab platform.
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measuring residential segregation with the acs how the Margin of Error affects the dissimilarity index
Demography, 2017Co-Authors: Jeffrey Napierala, Nancy A DentonAbstract:The American Community Survey (ACS) provides valuable, timely population estimates but with increased levels of sampling Error. Although the Margin of Error is included with aggregate estimates, it has not been incorporated into segregation indexes. With the increasing levels of diversity in small and large places throughout the United States comes a need to track accurately and study changes in racial and ethnic segregation between censuses. The 2005–2009 ACS is used to calculate three dissimilarity indexes (D) for all core-based statistical areas (CBSAs) in the United States. We introduce a simulation method for computing segregation indexes and examine them with particular regard to the size of the CBSAs. Additionally, a subset of CBSAs is used to explore how ACS indexes differ from those computed using the 2000 and 2010 censuses. Findings suggest that the precision and accuracy of D from the ACS is influenced by a number of factors, including the number of tracts and minority population size. For smaller areas, point estimates systematically overstate actual levels of segregation, and large confidence intervals lead to limited statistical power.
