The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset Description

This dataset contains the actual and predicted federal funds target rate for the United States from 1990 to 2023. The federal funds target rate is the interest rate at which depository institutions lend their excess reserves to each other overnight. It is set by the Federal Open Market Committee (FOMC) and is a key tool used by the Federal Reserve to influence the economy.

The dataset includes the following five columns:

Release Date: The date on which the data was released by the Federal Reserve. Time: The time of day at which the data was released. Actual: The actual federal funds target rate. Predicted: The predicted federal funds target rate. Forecast: The forecast federal funds target rate.

Data Usage

This dataset can be used for a variety of purposes, including: - Analyzing trends in the federal funds target rate over time. - Forecasting the future path of the federal funds target rate. - Assessing the effectiveness of monetary policy. - Data Quality

The data for this dataset is of high quality. The Federal Reserve is a reputable source of data and the data is updated regularly.

Data Limitations

The data for this dataset is limited to the United States. Additionally, the data does not include information on the factors that influenced the Federal Open Market Committee's decision to set the federal funds target rate.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

The benchmark interest rate in Canada was last recorded at 2.75 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

FOMC Meeting Policy Statements Dataset (Year 2000+, updated monthly)

  Overview

This dataset contains the policy statements released by the Federal Open Market Committee (FOMC) following each of its meetings from year 2000 onwords. The FOMC, a component of the U.S. Federal Reserve System, determines monetary policy in the United States. The statements provide insights into the committee’s policy decisions, economic outlook, and forward guidance.

  Background on Policy… See the full description on the dataset page: https://huggingface.co/datasets/Coding-Fish/fomc-statements.

The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Since 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decision-making (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study utilized data from the Bureau of Justice Statistics on federal criminal case processing to study jurisdictional variations in prosecutorial decision-making outcomes. It linked information across multiple federal agencies in order to track individual offenders across the various stages of the federal justice system. Specifically, it combined arrest information from the United States Marshall's Service with charging information from the Executive and Administrative Offices of the United States Attorney and with sentencing information from the United States Sentencing Commission. These individual data were subsequently augmented with additional information on federal courts to examine contextual variations in charging decisions across federal jurisdictions. There are three data files. Dataset 1 (Executive Office for United States Attorneys (EOUSA) and United States Marshals Service (USMS) Data) contains 88 variables and 284,869 cases. Dataset 2 (Administrative Office of the United States Courts (AOUSC) and United States Sentencing Commission (USSC) Data) contains 717 variables and 256,598 cases. Dataset 3 (United States District Court Characteristics Data) contains 6 variables and 89 cases. Only Dataset 3 is being released as part of the available study materials. Datasets 1 and 2 can be re-created using the syntax files which are included in the study materials.

Political interest and attitude to the policies of the Federal Government. Topics: judgement on the current economic situation in the FRG and on one´s own economic situation; assessment of economic development; attitude to the ´emergency laws´, reform of the right to vote, revaluation of the DM, equal legal status for illegitimate children, the statute of limitations for crimes in the Third Reich, co-determination, ´internal leadership´ in the Federal German Armed Forces, restoration of law and order at the universities, prohibition of the NPD, Ostpolitik and the Leber plan; satisfaction with the Federal Government and the grand coalition; issue competence of the parties and politicians; advantages and disadvantages of the candidates for chancellor and the major political parties; preferred federal chancellor; sympathy and degree of familiarity of federal politicians; preferred Federal President; political interest; political participation and perceived opportunity for political influence; rank order of political goals; rank order of party preference; party support and party membership; extent to which informed politically and partner for conversation about Federal Parliament elections and parties; party preference of persons to relate to; comparison of personal opinion with the view of the majority of the population; leading party in the residential quarter; behavior at the polls in the Federal Parliament elections 1965 and 1969 and in the state parliament election; most important task of the new Federal Government; general judgement on persons in leadership positions in politics and economy; voting decision of spouse; membership in clubs and organizations as well as interest in membership in a trade union; membership in a professional organization and party preference of the members of this association; party preference of colleagues; company size; memberships of father; social origins; local residency and city size; satisfaction with education and with place of residence; media usage and knowledge about political television broadcasts; judgement on education in parental home; membership in organizations for refugees or ethnic Germans from Eastern Europe; memory of the first survey. Demography: age; sex; marital status; religious denomination; religiousness; school education; vocational training; occupation; professional position; employment; household income; composition of household; head of household; economic area; housing situation; party preference; party membership; party inclination; party identification; state; regional origins; refugee status; possession of durable economic goods. Interviewer rating: willingness of respondent to cooperate; date of interview; number of contact attempts; interest of respondent in political problems; level to which respondent is politically informed. Also encoded was: municipality code. Politisches Interesse und Einstellung zur Politik der Bundesregierung. Themen: Beurteilung der aktuellen wirtschaftlichen Lage in der BRD und der eigenen wirtschaftlichen Situation; Einschätzung der wirtschaftlichen Entwicklung; Einstellung zu den Notstandsgesetzen, zur Wahlrechtsreform, zur DM-Aufwertung, zur rechtlichen Gleichstellung unehelicher Kinder, zur Verjährung von Verbrechen im Dritten Reich, zur Mitbestimmung, zur Inneren Führung in der Bundeswehr, zur Wiederherstellung von Ruhe und Ordnung an den Universitäten, zum Verbot der NPD, zur Ostpolitik und zum Leber-Plan; Zufriedenheit mit der Bundesregierung und der Großen Koalition; Issue-Kompetenz der Parteien und Politiker; Vor- und Nachteile der Kanzlerkandidaten und der großen politischen Parteien; bevorzugter Bundeskanzler; Sympathie und Bekanntheitsgrad von Bundespolitikern; präferierter Bundespräsident; politisches Interesse; politische Partizipation und wahrgenommene Möglichkeiten politischer Einflußnahme; Rangfolge politischer Ziele; Rangfolge der Parteipräferenzen; Parteiunterstützung und Parteimitgliedschaft; politische Informiertheit und Partner für Gespräche über Bundestagswahlen und Parteien; Parteipräferenz der Bezugspersonen; Vergleich der eigenen Meinung mit der Mehrheitsansicht der Bevölkerung; führende Partei im Wohnviertel; Wahlverhalten bei den Bundestagswahlen 1965 und 1969 und bei der Landtagswahl; wichtigste Aufgabe der neuen Bundesregierung; allgemeine Beurteilung der Personen in führenden Positionen in Politik und Wirtschaft; Wahlentscheidung des Ehepartners; Mitgliedschaft in Vereinen und Organisationen sowie Interesse an der Mitgliedschaft in einer Gewerkschaft; Mitgliedschaft in einem Berufsverband und Parteipräferenz der Mitglieder dieses Verbandes; Parteipräferenz der Arbeitskollegen; Betriebsgröße; Mitgliedschaften des Vaters; soziale Herkunft; Ortsansässigkeit und Ortsgröße; Zufriedenheit mit der Ausbildung und mit dem Wohnort; Mediennutzung und Kenntnis politischer Fernsehsendungen; Beurteilung der Erziehung im Elternhaus; Mitgliedschaft in Flüchtlings- oder Aussiedlerorganisationen; Rückerinnerung an die erste Befragung. Demographie: Alter; Geschlecht; Familienstand; Konfession; Religiosität; Schulbildung; Berufsausbildung; Beruf; berufliche Position; Berufstätigkeit; Haushaltseinkommen; Haushaltszusammensetzung; Haushaltungsvorstand; Wirtschaftsraum; Wohnsituation; Parteipräferenz; Parteimitgliedschaft; Parteineigung; Parteiidentifikation; Bundesland; regionale Herkunft; Flüchtlingsstatus; Besitz langlebiger Wirtschaftsgüter. Interviewerrating: Kooperationsbereitschaft des Befragten; Interviewdatum; Anzahl der Kontaktversuche; Interesse des Befragten an politischen Problemen; Niveau politischer Informiertheit des Befragten.

The benchmark interest rate in Indonesia was last recorded at 5.25 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Antidumping and countervailing duty decisions published in the Federal Register and their accompanying unpublished issues and decision memoranda.

overview: The corona jurisprudence of the Federal Constitutional Court (BVerfG-Corona) is a fully automated compilation of all decisions of the Federal Constitutional Court associated with the novel coronavirus (SARS-CoV-2). This data set is based on the corpus of the decisions of the Federal Constitutional Court (CE-BVerfG) and documents all decisions that contain the templates "Corona", "SARS-CoV" or "COVID" in full text. Please note the codebook of the CE-BVerfG! It contains important information on the correct use of the data set. It also helps in deciding which variant is best for you. I usually recommend the PDF collection for traditional research and the CSV files for quantitative research. The BVerfG-Corona does not contain a CSV variant of the decisions, please use the CE-BVerfG for this.

Update: This data set is updated approximately every 3 months during the corona pandemic. I always publish notifications about new and updated data sets promptly on Twitter at @FobbeSean. Key dataDeadline: January 8, 2021Scope of content: 56 decisions (version 2021-01-08)Formats: PDF and TXT Source code and compilation report. The entire creation process is fully automated and documented in detail from version 2021-01-08. With each compilation of the complete data set, a comprehensive compilation report is created in an attractively designed PDF format (similar to the codebook).The compilation report contains the complete source code, documents relevant calculation results, provides time stamps accurate to the second and is provided with a clickable table of contents. It is stored together with the source code. If you are interested in details of the creation process, please read this first. The complete source code is publicly available and permanently accessible in the scientific archive of CERN under this link: https://doi.org/10.5281/zenodo.4459416 Cryptographic signatures. The integrity and authenticity of the individual archives of the data record are ensured by a two-phase signature. In phase I, hash values ​​are calculated for each ZIP archive during compilation using two different methods (SHA2-256 and SHA3-512) and documented in a CSV file. In phase II this CSV file is signed with my personal secret GPG key. This procedure ensures that the compilation can be carried out by anyone, especially in the context of replications, but that there is still personal guarantee of results. The CSV file with the hash checksums created during the compilation of the data set is provided with my personal GPG signature. The public key corresponding to this version is stored with both the data set and the source code. It has the following characteristics: Name: Sean Fobbe (fobbe-data@posteo.de)Fingerprint: FE6F B888 F0E5 656C 1D25 3B9A 50C4 1384 F44A 4E42 No copyright: public domainIn accordance with Section 5 (1) UrhG, there is no copyright in the decision-making texts and official guidelines, as they are official works. § 5 UrhG is to be applied analogously to official databases (BGH, decision of September 28, 2006 - I ZR 261/03, "Saxon tendering service"). All my own contributions (e.g. by compiling and adapting the metadata) and thus the entire data set are completely copyright-free in accordance with a CC0 1.0 Universal Public Domain License. DisclaimerThis data set is a private scientific initiative and has no connection with the Federal Constitutional Court or with the editors of the BVerfGE. Further Open Access Publications (Fobbe)You can find more open data here: https://zenodo.org/communities/sean-fobbe-data/You can find my code repository here: https://zenodo.org/communities/sean-fobbe-code/Full texts of regular publications are available here: https://zenodo.org/communities/sean-fobbe-publications/ ContactFound a mistake? Suggestions? Either report this in the issue tracker on GitHub or send me an email to fobbe-data@posteo.de

The Federal Employee Viewpoint Survey is climate survey and results allow decision makers to assess how employees jointly experience the policies, practices, and procedures of their organizations. The survey allows government employees to share their opinions about what matters most to them, and gives them the opportunity to let their leadership know how they feel about their job, their supervisor, and their agency. Topics assessed in the FEVS focus on organizational practices within leadership scope to act upon. The ultimate goal of the FEVS program is to provide leadership with information that can be leveraged for improving and achieving effective Federal workplaces.Largescale government-wide survey administered by OPM's Employee Services. Each agency has an internal POC leading efforts supporting administration of the survey. Captures agency employee perceptions on work environment; supervisors; managers; executives; Diversity, Equity, Inclusion, and Accessibility; Engagement; job and pay satisfaction; rewards and recognition; as well as demographics of survey takers. ~2300 OPM employees receive this survey / year.

An Excel export of combined USA Staffing, Monster, Aviator (FAA) Hiring Assessment and Selection Outcome Data from the 24 CFO Act agencies. We believe this data will empower Chief Human Capital Officers and Human Resources staff with the right data to focus on improved hiring outcomes while complying with open data requirements to increase transparency to the millions of applicants who apply for federal positions each year on USAJOBS.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Judgement on the old and the new Federal Government as well as the election campaign, the parties and politicians shortly after the Federal Parliament election. Topics: judgement on the aptitude of Kiesinger as federal chancellor and on the success of the foreign policy of the FRG in the last few years; attitude to the Oder-Neisse Line and to recognition of the GDR; judgement on the achievements of the Federal Government, the parties and the most important politicians (scale); most important tasks of the future government; familiarity of election slogans and assignment of the slogans to parties; attendance at election meetings; judgement on the election campaign; sources of political information; media usage and paying attention to news broadcasts as well as advertising broadcasts of the parties on television; attitude to co-determination; personal election participation; time of personal voting decision; personal change in party voted for from 1965 to 1969; splitting; voting decision of spouse; time of information about the election result; party preference; importance of areas of life; self-assessment of vertical mobility; going to the movies; religiousness; membership in a trade union; satisfaction with the economic situation; general contentment with life; judgement on price development; intelligence test (short form). Demography: age (classified); sex; marital status; religious denomination; school education; occupation; employment; income; size of household; head of household; city size; state; refugee status. Interviewer rating: social class and willingness of respondent to cooperate. Beurteilung der alten und der neuen Bundesregierung sowie des Wahlkampfes, der Parteien und der Politiker kurz nach der Bundestagswahl. Themen: Beurteilung der Eignung Kiesingers als Bundeskanzler und des Erfolgs der Außenpolitik der BRD in den letzten Jahren; Einstellung zur Oder-Neiße-Linie und zur Anerkennung der DDR; Beurteilung der Leistungen der Bundesregierung, der Parteien und der wichtigsten Politiker (Skalometer); wichtigste Aufgaben der zukünftigen Regierung; Bekanntheit von Wahlslogans und Zuordnung der Slogans zu den Parteien; Besuch von Wahlversammlungen; Beurteilung des Wahlkampfs; Quellen politischer Information; Mediennutzung und Beachtung von Nachrichtensendungen sowie Werbesendungen der Parteien im Fernsehen; Einstellung zur Mitbestimmung; eigene Wahlbeteiligung; Zeitpunkt der eigenen Wahlentscheidung; eigene Wechselwählerschaft von 1965 zu 1969; Splitting; Wahlentscheidung des Ehepartners; Zeitpunkt der Information über das Wahlergebnis; Parteipräferenz; Wichtigkeit der Lebensbereiche; Selbsteinschätzung der vertikalen Mobilität; Kinobesuche; Religiosität; Mitgliedschaft in einer Gewerkschaft; Zufriedenheit mit der wirtschaftlichen Situation; allgemeine Lebenszufriedenheit; Beurteilung der Preisentwicklung; Intelligenztest (Kurzform). Demographie: Alter (klassiert); Geschlecht; Familienstand; Konfession; Schulbildung; Beruf; Berufstätigkeit; Einkommen; Haushaltsgröße; Haushaltungsvorstand; Ortsgröße; Bundesland; Flüchtlingsstatus. Interviewerrating: Schichtzugehörigkeit und Kooperationsbereitschaft des Befragten.

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 Federal Dam. The dataset can be utilized to gain insights into gender-based income distribution within the Federal Dam population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Federal Dam, among individuals aged 15 years and older with income, there were 42 men and 59 women in the workforce. Among them, 12 men were engaged in full-time, year-round employment, while 13 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 16.67% fell within the income range of under $24,999, while 23.08% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 16.67% of men in full-time roles earned incomes exceeding $100,000, while none 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 Federal Dam median household income by race. You can refer the same here

Motives for leaving and modalities of moving to the FRG of citizens of the GDR. Description of course of employment and housing situation as well as regional mobility in the Federal Republic. Comparisons of the situation in the Federal Republic with the earlier GDR. Judgement on the entire change from moving. Topics: Dates of entry to the FRG; departure route and processing time of departure application; motives for leaving the GDR; time differences in moving of family members; city size of place of residence left in the GDR; training and employment data; course of employment; sanctions after filing departure application; problems in recognition of qualification or training degrees from the GDR; course of training and employment up to now in the FRG; reasons for unemployment and personal assessment of the reasons for unemployment; urgency of wish for work; employment suitable for qualification; acquisition of new knowledge and skills in the FRG; differences in work climate in comparison of FRG and GDR; today's activity as alternative to unemployment or desired work; satisfaction with current occupational situation and planned change of activity; current most important source of income; housing situation after moving; length of residence in transit or refugee housing; regional mobility in the Federal Republic and reasons for change of place of residence; current residential status; size of residence; persons in household and their degree of relationship to respondent; change of residence sought and reasons for this; judgement on experience with selected authorities; information on particularly bad experiences with authorities; protest filed or suit against decisions of authorities; C-identification applied for; larger acquisitions already purchased or currently deferred; purchase mistakes; objects one should bring along from the GDR; difficulties with installment payments and repaying loans; doing without trips or acquisitions; changes in leisure time behavior compared to earlier; participation in public life and political activity; expected support from relatives as well as friends in integration in the Federal Republic and judgement on their support; contacts with West Germans and experiences and problems there; membership in an organization for former citizens of the GDR; efforts to travel to the GDR; visits to the GDR; meeting relatives from the GDR in third countries; identification as former citizen of the GDR; discrimination experienced due to GDR origin; perceived typical differences between people from the GDR and FRG; feeling at home at new place of residence and duration of integration; satisfaction with personal departure decision; thoughts of returning; moving to a foreign country; fulfilled expectations in the FRG; importance of areas of life; judgement on inequality of occupational chances for women in the Federal Republic; change of attitude to employment of women since moving to the Federal Republic; attitude to the equal rights discussion in society; integration difficulties of the children; occupational restrictions due to lack of child care; preference for child or occupation; partner origin from the GDR or FRG; activity of partner and possibly unemployment of partner after moving; personal advice for future emigrants from East Germany. Ausreisemotive und Übersiedlungsmodalitäten von DDR-Bürgern in die BRD. Beschreibung des Berufsverlaufs und der Wohnsituation sowie der regionalen Mobilität in der Bundesrepublik. Vergleiche der Situation in der Bundesrepublik mit der früheren DDR. Beurteilung der gesamten Veränderung durch die Übersiedlung. Themen: Einreisedaten in die BRD; Ausreiseweg und Laufzeit des Ausreiseantrags; Haftzeit; Motive für das Verlassen der DDR; zeitliche Differenzen bei der Übersiedlung von Familienmitgliedern; Familienzusammenführung; Diskriminierung; Oppositionshaltung; Ausreise des Ehepartners; Ortsgröße des verlassenen Wohnorts in der DDR; Ausbildungs- und Berufsdaten; Berufsverlauf; Sanktionen nach Stellung des Ausreiseantrags; Probleme bei der Anerkennung von Qualifikationen bzw. Ausbildungsabschlüssen aus der DDR; bisheriger Ausbildungs- und Berufsverlauf in der BRD; Erwerbsstatus; Gründe für Erwerbslosigkeit und eigene Einschätzung der Ursachen für die Arbeitslosigkeit; Dringlichkeit des Wunsches nach Arbeit; qualifikationsadäquate Beschäftigung; Erwerb neuer Kenntnisse und Fertigkeiten in der BRD; Unterschiede im Arbeitsklima beim Vergleich von BRD und DDR; heutige Tätigkeit als Alternative zur Arbeitslosigkeit oder Wunscharbeitsplatz; Zufriedenheit mit der derzeitigen beruflichen Situation und geplanter Wechsel der Tätigkeit; derzeit wichtigste Einkommensquelle; Wohnsituation nach Übersiedlung; Wohndauer in Übergangs- oder Flüchtlingswohnheimen; regionale Mobilität in der Bundesrepublik und Gründe für Wohnortwechsel; Häufigkeit von Wohnortwechseln; derzeitiger Wohnstatus; Wohnungsgröße; Personen im Haushalt und deren Verwandtschaftsgrad zum Befragten; angestrebter Wohnungswechsel; Behördenkontakte und Beurteilung der Erfahrung mit ausgewählten Behörden; besonders schlechte Erfahrungen mit Behörden; eingelegter Widerspruch oder Klage gegen Behördenentscheidungen; beantragter C-Ausweis; bereits getätigte bzw. derzeit zurückgestellte größere Anschaffungen; getätigte Fehlkäufe; Gegenstände, die man aus der DDR mitbringen sollte; Schwierigkeiten mit Ratenzahlungen und Tilgung von Krediten; Verzicht auf Reisen oder Anschaffungen; Veränderungen im Freizeitverhalten gegenüber früher; Teilnahme am öffentlichen Leben und politische Partizipation (Mitgliedschaften); erwartete Unterstützung durch Verwandte sowie durch Freunde bei der Eingliederung in die Bundesrepublik und Beurteilung der Unterstützung; Kontakte zu Bundesbürgern und dabei gemachte Erfahrungen und Probleme; Mitgliedschaft in einer Vereinigung für ehemalige DDR-Bürger; Bemühungen um DDR-Einreise; Besuche in der DDR; Treffen mit DDR-Verwandten in Drittländern; Identifikation als ehemaliger DDR-Bürger; erfahrene Diskriminierung aufgrund der DDR-Herkunft; wahrgenommene typische Unterschiede zwischen Menschen aus der DDR und BRD; heimisch fühlen am neuen Wohnort und Dauer der Integration; Zufriedenheit mit dem eigenen Ausreiseentschluss; Rückkehrüberlegungen; Umzugswunsch ins Ausland; erfüllte Erwartungen in der BRD; Wichtigkeit der Lebensbereiche; Beurteilung der beruflichen Chancengleichheit für die Frau in der Bundesrepublik; Änderung der Einstellung zur Berufstätigkeit der Frau seit dem Umzug in die Bundesrepublik; Einstellung zur Gleichberechtigungsdiskussion in der Gesellschaft; Eingliederungsschwierigkeiten der Kinder; berufliche Einschränkungen wegen fehlender Kinderbetreuung; Präferenz für Kind oder Beruf; Partnerherkunft aus der DDR oder BRD; Tätigkeit und gegebenenfalls Arbeitslosigkeit des Partners nach Übersiedlung. Demographie: Geschlecht; Alter (Geburtsjahr); Familienstand; Kinder; Alter der Kinder; monatliches Bruttoeinkommen. Indizes: Prestigewert der Berufstätigkeit des Befragten und des Partners, Prestigewert des Berufsabschlusses des Befragten, ISCO-Berufscode nach Treimann und Wegener. Zusätzlich verkodet wurde: Bereitschaft zu einem weiteren Gespräch. Representative random sample. Of the 3071 cases 444 were drawn in Berlin and 2627 in Giessen. Repräsentative Zufallsstichprobe Von den 3071 Fällen wurden 444 in Berlin und 2627 in Gießen gezogen.

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 Federal Heights. The dataset can be utilized to gain insights into gender-based income distribution within the Federal Heights population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Federal Heights, among individuals aged 15 years and older with income, there were 5,192 men and 3,880 women in the workforce. Among them, 3,059 men were engaged in full-time, year-round employment, while 1,711 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.28% fell within the income range of under $24,999, while 15.37% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 3.76% of men in full-time roles earned incomes exceeding $100,000, while 5.49% 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 Federal Heights median household income by race. You can refer the same here