In 2023, **** percent of residents of the District of Columbia were white. A further **** percent of the population were Black or African American, and ** percent of D.C. residents were Hispanic or Latino in that same year.

The District of Columbia is home to a very diverse tree canopy, but it is not self-sustaining. In order to promote overall canopy health, ensure tree diversity, and match each new planting to a suitable planting site, the city's Urban Forestry Administration chooses the best available tree from a selection of 130 species and cultivars. The following presentation will introduce readers to the trees that make the District of Columbia's canopy unique.Washington, DC stands apart from most other US cities when it comes to trees. Trees were considered so essential that they were included as an integral part of Pierre L'Enfant's original design. The L'Enfant Plan, drafted in 1791, reserved space in the public right-of-way exclusively for trees and DC remains the "City of Trees." Agency Website.

This dataset tracks annual diversity score from 2013 to 2023 for Basis Dc Pcs vs. District Of Columbia and BASIS DC Public Charter School District

This dataset tracks annual diversity score from 2000 to 2023 for The Seed Pcs Of Washington Dc vs. District Of Columbia and SEED Public Charter School District

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Washington. The dataset can be utilized to gain insights into gender-based income distribution within the Washington population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Washington, among individuals aged 15 years and older with income, there were 237,294 men and 268.30 thousand women in the workforce. Among them, 146,116 men were engaged in full-time, year-round employment, while 149,395 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.65% fell within the income range of under $24,999, while 3.16% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 56.28% of men in full-time roles earned incomes exceeding $100,000, while 47.06% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Washington median household income by race. You can refer the same here

This dataset tracks annual diversity score from 2022 to 2023 for Dc Online vs. Iowa and Davis County Community School District

About this dataset

Context

The dataset presents the median household income across different racial categories in Washington. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Washington population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 44.66% of the total residents in Washington. Notably, the median household income for Black or African American households is $60,891. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $149,358. This reveals that, while Black or African Americans may be the most numerous in Washington, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/washington-dc-median-household-income-by-race.jpeg" alt="Washington median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Washington.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Washington median household income by race. You can refer the same here

BackgroundWashington DC has a high burden of HIV with a 2.0% HIV prevalence. The city is a national and international hub potentially containing a broad diversity of HIV variants; yet few sequences from DC are available on GenBank to assess the evolutionary history of HIV in the US capital. Towards this general goal, here we analyze extensive sequence data and investigate HIV diversity, phylodynamics, and drug resistant mutations (DRM) in DC.MethodsMolecular HIV-1 sequences were collected from participants infected through 2015 as part of the DC Cohort, a longitudinal observational study of HIV+ patients receiving care at 13 DC clinics. Sequences were paired with Cohort demographic, risk, and clinical data and analyzed using maximum likelihood, Bayesian and coalescent approaches of phylogenetic, network and population genetic inference. We analyzed 601 sequences from 223 participants for int (~864 bp) and 2,810 sequences from 1,659 participants for PR/RT (~1497 bp).ResultsNinety-nine and 94% of the int and PR/RT sequences, respectively, were identified as subtype B, with 14 non-B subtypes also detected. Phylodynamic analyses of US born infected individuals showed that HIV population size varied little over time with no significant decline in diversity. Phylogenetic analyses grouped 13.5% of the int sequences into 14 clusters of 2 or 3 sequences, and 39.0% of the PR/RT sequences into 203 clusters of 2–32 sequences. Network analyses grouped 3.6% of the int sequences into 4 clusters of 2 sequences, and 10.6% of the PR/RT sequences into 76 clusters of 2–7 sequences. All network clusters were detected in our phylogenetic analyses. Higher proportions of clustered sequences were found in zip codes where HIV prevalence is highest (r = 0.607; P<0.00001). We detected a high prevalence of DRM for both int (17.1%) and PR/RT (39.1%), but only 8 int and 12 PR/RT amino acids were identified as under adaptive selection. We observed a significant (P<0.0001) association between main risk factors (men who have sex with men and heterosexuals) and genotypes in the five well-supported clusters with sufficient sample size for testing.DiscussionPairing molecular data with clinical and demographic data provided novel insights into HIV population dynamics in Washington, DC. Identification of populations and geographic locations where clustering occurs can inform and complement active surveillance efforts to interrupt HIV transmission.

About this dataset

Context

The dataset presents the median household income across different racial categories in District of Columbia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of District of Columbia population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 44.66% of the total residents in District of Columbia. Notably, the median household income for Black or African American households is $60,891. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $149,358. This reveals that, while Black or African Americans may be the most numerous in District of Columbia, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/district-of-columbia-dc-median-household-income-by-race.jpeg" alt="District of Columbia median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in District of Columbia.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for District of Columbia median household income by race. You can refer the same here

Demographic and clinical characteristics of DC Cohort participants stratified by availability of sequence data.

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bes/543/170. The abstract below was extracted from the Level 0 data package and is included for context: This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The database consists of four tables. Sites, Surveys, Taxalist, and Birds. Sites records thje sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: The tables form a set. Here are the fields and relationship information: Surveys: site_id FK->Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK->surveys[survey_id] site_id FK->surveys[site_id] species_id FK->taxalist[species_id] distance bird_count seen heard direction time_class

Scaled diversity values for both DC and DR coding, and for both Antechinus stuartii and A. agilis: study total (γ∼), among-species , within-species , among-populations , and within-populations , with Bartlett’s homogeneity tests of the within stratum components.

110 100 square meter plots located along 56 randomly selected transects across 1st to 4th order streams in the riparian section of the watershed. Plots are located on digital aerial photographs in GIS. In each 100 square meter plot, all trees greater than or equal to 2.5 cm diameter at breast height (DBH) were identified to species and measured. All stems less than 2..5 cm DBH and greater than or equal to 1 m in height were counted. Four 1 square meter plots were established around the plot center, where percent cover of herbaceous species and species of woody seedlings were estimated using a 1 square meter frame divided into a grid of 100 10 square meter cells.

IntroductionThis study investigated the rhizosphere bacterial communities of Zanthoxylum nitidum(Roxb.) DC.MethodsUsing an integrated approach combining 16S rRNA sequencing, redundancy analysis (RDA), and grey relational analysis (GRA) to unravel the correlation among soil environmental factors, microbial diversity, functional potential, and key medicinal compounds.ResultsThis study revealed for the first time the effects of environmental factors such as soil pH, organic matter content (ORM), altitude(HT), soil sand(SP) and soil silt (SSG) on the diversity of soil bacterial community, annotated and analyzed the functions of differential flora, and established the correlation between 15 main differential flora (such as Rudaea, Bradyrhizobium, Gemmatimonas) and nitidine chloride, which is the main medicinal active component of Zanthoxylum nitidum(Roxb.) DC.DiscussionThis study provides theoretical basis and important reference for soil adaptability optimization of Zanthoxylum nitidum (Roxb.) DC cultivation from bacterial community regulation, and highlights the supporting value of the study for the sustainable development of medicinal plant resources.

This research project will continue studies of a taxonomically definitive group of early evolving (single-chambered) Foraminifera at both multi-gene molecular and ultrastructural levels of analysis, in order to generate more robust and detailed phylogenies of these ecologically-important organisms. Studies will be extended to include members of the enigmatic genus Gromia, to better define their ecological significance and placement within the protistan supergroup Rhizara. Together, these structural and molecular data will be used to complete taxonomic descriptions of over 20 new rhizarian species. The research will develop rapid molecular screening methods for future ecological studies of rhizarian protists, and uncover the driving forces that led to their diversification. A range of educational activities will target local and national audiences, and include development of hands-on, standards-based, innovative science classroom activities. In addition, a short art/science documentary film depicting research on the biology and evolution of Antarctic rhizarian protists will form the basis of a workshop hosted by the Capital Region Center for Arts in Education. Note: There are no data associated with this entry.

Drug resistant mutations.

HIV DNA polymorphism and drug resistant mutations (DRM).

Uncaria tomentosa (Willd. ex Schult.) DC., a plant native to the Amazon region, is used widely in popular medicine and by the pharmaceutical industry because of its anti-inflammatory activity. However, the survival of this species is endangered by deforestation and indiscriminate collection, and a preservation plan is urgently required. The objectives of this study were to determine the genetic and chemical variability between and within eight populations of U. tomentosa from the Brazilian states of Acre, Pará and Amapá, and to investigate possible correlations between genetic and geographical distances, and between geographical distances or altitude and the accumulation of bioactive oxindole alkaloids. Three sequence-related amplified polymorphism (SRAP) markers were employed to fingerprint genomic DNA, and the amounts of mitraphylline and isomitraphylline in leaf samples were established by high-performance liquid chromatography. Although significant divergence existed between the tested populations (FST = 0.246), the largest genetic diversity and the highest percentage of polymorphism (95.68%) was found within the population from Mâncio Lima, Acre. Gene flow was considered rather limited (Nm = 1.57), and no correlations between genetic and geographical distances were detected, suggesting that population structure followed an island model. Accumulations of mitraphylline and isomitraphylline varied in the range 32.94 to 0.57 and 3.75 to 0.36 mg g-1 dry weight, respectively. The concentration of isomitraphylline was positively influenced by altitude, such that the population collected at the site with the highest elevation (Tarauacá, Acre) exhibited the greatest alkaloid content. SRAP markers were very efficient in fingerprinting genomic DNA from U. tomentosa populations and clearly showed that genetic variability within populations was greater than between populations. A conservation and management plan should prioritize the creation of germplasm banks to prevent the loss of existing genetic variability, particularly within alkaloid-rich populations such as those of Tarauacá.

80 100 square meter plots located randomly throughout the uplands. were sampled similarly to the riparian sampling. GIS was used to identify latitude and longitude for each plot, and plots were located in the field using GPS. In each 100 square meter plot, all trees greater than or equal to 2.5 cm diameter at breast height (DBH) were identified to species and measured. All stems less than 2..5 cm DBH and greater than or equal to 1 m in height were counted. Four 1 square meter plots were established around the plot center, where percent cover of herbaceous species and species of woody seedlings were estimated using a 1 square meter frame divided into a grid of 100 10 square meter cells.

Abstract Given its high-valued wood, the African mahogany (Khaya grandifoliola) has been envisaged as a renewable source of tropical hardwoods in Brazil. However, there are concerns about the hypothesized low diversity among the few K. grandifoliola germplasm sources introduced in the country. Using eight microsatellite markers, we evaluated the genetic diversity and divergence among 53 superior trees selected from three provenances of K. grandifoliola located in the state of Para. These populations are among the oldest plantations (>15 years) in Brazil and, therefore, the country's main seed sources. The average number of alleles per locus was 5.9, expected heterozygosity was moderate (^=0.56) and lower than the high observed heterozygosity (HO=0.74). Therefore, the intrapopulation fixation index was negative (f=-0.31) indicating the possibility that selection of superior trees might have favored heterozygous plants with heterosis. No genetic structure was observed between provenances. The genetic diversity observed within selected trees, with an effective population size (Ne) of 30.4, is comparable to that of natural populations of African and Brazilian mahoganies. Therefore, our results contradict the idea that the genetic diversity of K. grandifoliola introduced in Brazil is low and show that our germplasm can be exploited for breeding purposes.