This dataset tracks annual diversity score from 2022 to 2023 for Learn DC PCS School District vs. District of Columbia

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.

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 2000 to 2023 for The Seed Pcs Of Washington Dc vs. District Of Columbia and SEED PCS 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

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 includes historical and recent information on the freshwater mollusk communities from the middle Olt River (Romania), along with the environmental parameters in the sampling sites and their spatial coordinates, as well as the species' functional traits and niche measures. The historical information dates back to the XIXth century, and comes from old literature and museum collections, the more recent data (1995-2000) and was derived from original research or literature, while the present-day data was collected during a field survey in May 2020. The study area is an 83 km section along the middle Olt River, between the town of Făgăraș (45.8512° N, 24.9733° E) and the Carpathian gorges (45.5317° N, 24.2721° E), in the region of Transylvania, Romania. Parts of this dataset were used in two papers, one currently under consideration for publication in Scientific Reports: Sîrbu, I., Benedek, A.M., Brown, B.L., Sîrbu, M. - Native versus alien communities: canonical ordination and variation partitioning with multiple response and predictor matrices disentangle structural and functional responses (2022), and the other published in 2021: Sîrbu, I., Benedek, A.M. & Sîrbu, M. Variation partitioning in double-constrained multivariate analyses: linking communities, environment, space, functional traits, and ecological niches. Oecologia 197, 43-59 (2021). In Sîrbu et al. (2022), using both historical and recent data, we aimed to: - disentangle and test the effects of hydrotechnical works - especially building of reservoirs (dams for hydroenergetic power) - environment, space, time, and non-native mollusk species on structural and functional dynamics of native freshwater mollusk communities; - investigate the differences in responses of native and alien species to the same predictors, and characterize the reversed effects of predictor ability of communities on external variables; - test effects of non-native species and communities on structural and functional diversity of natives, and - develop a novel approach and method for analyzing and expressing relationships between native and alien communities while accounting also for their responses to environment and space. In Sîrbu et al. (2021), based only on the present-day data, we defined, measured, and partitioned the CENTS space, the acronym coming from Community - Environment - Niche - (functional) Traits - Space. We proposed an algorithm to disentangle and quantify the overlapping effects of E-S (environment and space) and T-N (traits and ecological niche) variable groups on the community, which can be also used for other predictor data tables, such as a table with ecological indicator values or with phylogenetical relationships, and it also may be extended to include more than two data tables for sites or species. Our second objective was to summarize how species relate to resources and their availability in the environment, synthesize this information in a standardized way, and use these novel measures to apply the algorithm mentioned above, including an N data table, measuring the ecological niche features of the species. For this goal, we proposed a new standardized metric of niche complementarity (dissimilarity) for both categorical and continuous resources, which also account for the availability of resources in the environment. We used this metric to define and measure the species' uniqueness and one more aspect of the community diversity, the niche-based diversity (ND). We explored relationships between diversity measures and environment predictors, highlighting the use of ND in impact assessment.

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.

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.

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

This dataset tracks annual diversity score from 2006 to 2023 for KIPP DC PCS School District vs. District of Columbia

Chi-square tests of association between phylogenetic clades and demographic variables.

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

Drug resistant mutations.

This dataset tracks annual diversity score from 2015 to 2023 for Harmony DC PCS School District vs. District of Columbia

HIV DNA polymorphism and drug resistant mutations (DRM).

The relationships between the inorganic nutrients and diversity of dinoflagellate cysts (the N-Dc relationships) are one of the most central issues in coastal ecology. It is not only an important pathway to explore the ecological processes of plankton, but also a key element for assessing eutrophication in marine ecosystems. Although the N-Dc relationships have been studied for many years, they have remained controversial, which may be attributed to (1) using samples collected from a single source (2) considering an insufficient range of nutrient concentrations (3) rarely taking into account species abundance distributions (SAD) that could better represent diversity. In this study, the N-Dc relationships are evaluated according to a compiled dataset, which cover the wide range of nutrient concentrations. Species diversity of cysts are estimated by four common diversity metrics and a new SAD parameter. Results show that all diversity metrics are negative with nutrients, which supports that low diversity of cysts could be considered as a signal of eutrophication. Additionally, this study finds a new pattern that SAD of cysts (Nr/N1, Nr and N1 is the abundance of the r-th and the first species in descending order) with decreasing nutrients appears to gradually approach 1: 1/2: 1/3…. In the future, if this pattern can be verified by more investigations, understanding the negative N-Dc relationships is more likely to provide new direction for assessing and managing eutrophication in coastal ecosystem, and even for exploring the general mechanisms determining diversity.

Abstract: 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.

This award supports a detailed, molecular level characterization of dissolved organic carbon and microbes in Antarctic ice cores. Using the most modern biological (genomic), geochemical techniques, and advanced chemical instrumentation researchers will 1) optimize protocols for collecting, extracting and amplifying DNA from deep ice cores suitable for use in next generation pyrosequencing; 2) determine the microbial diversity within the ice core; and 3) obtain and analyze detailed molecular characterizations of the carbon in the ice by ultrahigh resolution Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS). With this pilot study investigators will be able to quantify the amount of material (microbial biomass and carbon) required to perform these characterizations, which is needed to inform future ice coring projects. The ultimate goal will be to develop protocols that maximize the yield, while minimizing the amount of ice required. The broader impacts include education and outreach at both the local and national levels. As a faculty mentor with the American Indian Research Opportunities and BRIDGES programs at Montana State University, Foreman will serve as a mentor to a Native American student in the lab during the summer months. Susan Kelly is an Education and Outreach Coordinator with a MS degree in Geology and over 10 years of experience in science outreach. She will coordinate efforts for comprehensive educational collaboration with the Hardin School District on the Crow Indian Reservation in South-central Montana.

This bar chart depicts PERM case filings at The Salon Professional Academy-Washington DC sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.