🏛️ Federal Reserve Document Scraper

1. Dataset description

This repository contains code for downloading and organizing Federal Reserve documents from the official Federal Reserve Board website.

These files were used as part of my NLP project. While collecting data, my data collection code is inspired by centralbank_analysis by yukit-k. However, that implementation had some limitations:

❌ Incomplete handling of newer HTML structures on the Fed website

❌ No support for Greenbook/Tealbook files

❌ File naming and folder structure not ideal for downstream processing

❌ No handling of failed downloads or noisy formatting

So I made som key Improvements:

✅ Supports both Greenbook and Minutes. You can choose which type to download

✅ Automatic directory organization. Files are saved using a consistent format as:

FOMC_[document type]_YYYY-MM-DD

✅ Duplicate check & resume support: Prevents redundant downloads and handles broken links gracefully

✅ Modular and extensible codebase Easy to extend for other Fed documents (e.g., SEP, transcripts)

2. Data detail

This repository contains modules for downloading and processing various official publications of the Federal Open Market Committee (FOMC). These documents, produced and released by the Federal Reserve, provide detailed insight into U.S. monetary policy formation, communication, and economic analysis over time.

Below is a reference guide to the major FOMC document types represented in this repository.

📅 FomcAgenda.py – Meeting Agendas

Agendas are created by the FOMC Secretariat in coordination with the Chair and outline the topics of discussion for each meeting, including standard items (e.g., open market operations, economic outlook) and special topics. Participants receive the agenda about one week in advance.

📄 FomcStatement.py – Policy Statements

FOMC statements are brief summaries of monetary policy decisions released immediately after each meeting. These statements have become a key communication tool since 1994 and are now issued after every scheduled meeting, even if policy remains unchanged.

📝 FomcMinutes.py – Meeting Minutes

Minutes provide a concise, narrative summary of policy discussions and rationales. Since 2004, they are released three weeks after each meeting. The minutes include details on voting outcomes and dissenting views, and are eventually included in the Fed’s Annual Report.

🧾 FomcPresConfScript.py – Press Conference Transcripts

Beginning in 2011, the Fed Chair has held press conferences following certain FOMC meetings. These transcripts document the Chair’s remarks and responses to journalists, offering additional context and forward guidance. Released shortly after the meeting.

🗣️ FomcMeetingScript.py – Meeting Transcripts

Verbatim transcripts of FOMC meetings, produced from audio recordings and lightly edited for readability. They are released with a 5-year delay. For meetings prior to 1994, transcripts were reconstructed from raw records and may contain transcription uncertainties.

📚 FomcGreenbook.py – Greenbook (1964–2010)

The Greenbook, officially titled Current Economic and Financial Conditions, was prepared by Board staff and delivered to FOMC members six days before each meeting. It provided forecasts, data analyses, and economic outlooks.

Part 1: Summary and forecast

Part 2: Detailed breakdowns

Supplement: Late-breaking updates

📘 FomcBlueBook.py – Bluebook (1965–2010)

The Bluebook, titled Monetary Policy Alternatives, outlined potential policy options and risks. It was distributed shortly after the Greenbook and informed FOMC decisions. The document evolved from earlier versions like Money Market and Reserve Relationships.

🧠 FomcTealbook.py – Tealbook (2010–Present)

The Tealbook replaced both the Greenbook and Bluebook in June 2010. It is split into two parts:

Tealbook A: Current Situation and Outlook — Forecasts and financial developments

Tealbook B: Strategies and Alternatives — Policy options and simulations

Both are released with a 5-year lag.

📙 FomcBeigeBook.py – Beige Book

The Beige Book, published eight times a year, summarizes anecdotal economic conditions across the 12 Federal Reserve Districts. Based on business surveys, interviews, and internal reports, it is released ~two weeks before each meeting.

🧾 FomcTestimony.py – Testimony before Congress

This includes the Chair’s Semiannual Monetary Policy Report to Congress and other testimonies. These communications explain the Fed’s outlook and policies directly to lawmakers and the public.

📚 References

Federal Reserve – FOMC Archive

Wikipedia – Federal Open Market Committee

The benchmark interest rate in the United States was last recorded at 3.75 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.

Central Bank Balance Sheet in the United States increased to 6646344 USD Million in March 11 from 6628894 USD Million in the previous week. This dataset provides - United States Central Bank Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

This data package includes the underlying data files to replicate the data and charts presented in Central banks and policy communication: How emerging markets have outperformed the Fed and ECB, PIIE Working Paper 23-10.

If you use the data, please cite as: Evdokimova, Tatiana, Piroska Nagy Mohácsi, Olga Ponomarenko, and Elina Ribakova. 2023. Central banks and policy communication: How emerging markets have outperformed the Fed and ECB. PIIE Working Paper 23-10. Washington, DC: Peterson Institute for International Economics.

Money Supply M0 in the United States decreased to 5388000 USD Million in February from 5402500 USD Million in January of 2026. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Money Supply M2 in the United States increased to 22442.10 USD Billion in January from 22366.20 USD Billion in December of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Monetary Base: Total (BOGMBASE) from Jan 1959 to Feb 2026 about monetary base and USA.

Chicago Fed National Activity Index in the United States decreased to -0.11 points in February from 0.20 points in January of 2026. This dataset provides the latest reported value for - United States Chicago Fed National Activity Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Federal Home Loan Bank (FHLB) system was created by the Federal Home Loan Bank Act of 1932 as a government sponsored enterprise to support mortgage lending and related community investment. It is composed of 11 FHLBanks, more than 6,500 member financial institutions, and the System's fiscal agent, the Office of Finance. Each FHLBank is a separate, government-chartered, member-owned corporation.

The Electronic Code of Federal Regulations (e-CFR) is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government. It is divided into 50 titles that represent broad areas subject to Federal regulation. The Electronic Code of Federal Regulations is updated daily. The Electronic Code of Federal Regulations and its accompanying XML data is not yet an official format of the Code of Federal Regulations. Only the PDF and Text versions of the annual Code of Federal Regulations have legal status as parts of the official online format of the Code of Federal Regulations. The XML-structured files are derived from SGML-tagged data and printing codes, which may produce anomalies in display. In addition, the XML data does not yet include image files. Users who require a higher level of assurance may wish to consult the official version of the Code of Federal Regulations or the daily Federal Register on FDsys.gov.

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.

A list of Significant Guidance documents, which include guidance document disseminated to regulated entities or the general public that may reasonably be anticipated to lead to an annual effect on the economy of $100 million or more or adversely affect in a material way the economy, a sector of the economy, productivity, competition, jobs, the environment, public health or safety, or State, local, or tribal governments or communities; create a serious inconsistency or otherwise interfere with an action taken or planned by another agency; materially alter the budgetary impact of entitlements, grants, user fees, or loan programs or the rights and obligations of recipients thereof; or raise novel legal or policy issues arising out of legal mandates, the President's priorities, or the principles set forth in Executive Order 12866, as further amended.

Dr Fed

## Overview

Dr Fed is a dataset for instance segmentation tasks - it contains Dr Fed annotations for 285 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This data layer contains polygon features representing the approximate size and location of parcels owned by the federal government located within Prince William County, Virginia. It was created to provide basic information regarding property location and boundaries, and is used as a graphical representation of legally recorded deed and plat documents for properties. Parcel ownership and recordation information is not included in this layer but can be purchased separately from the Office of Real Estate Assessments. Users should be aware that this data does not represent legal property boundary descriptions, nor is it suitable for boundary determination of individual parcels. Any depiction of physical improvements, property lines or boundaries is for general information only and shall not be used for the design modification or construction of improvements to real property or for flood plain determination.

The layer was derived from a variety of source maps including: mylar county parcel maps, plats of surveys, deed descriptions, subdivision maps, and highway right-of-way plats. These source materials were of several different scales and were from dates ranging from the early 1900's to the present.

The amendments to the Child Abuse Prevention and Treatment Act (CAPTA) of 1988 created a Federal Inter-Agency Task Force on Child Abuse and Neglect. The Task Force consisted of approximately 30 member agencies drawn from the eight Cabinet Departments and the Office of Personnel Management. The Director of the National Center on Child Abuse and Neglect (NCCAN) was the statutory chairperson of the Task Force.

When the 1996 CAPTA amendments created an Office on Child Abuse and Neglect, replacing the National Center on Child Abuse and Neglect (NCCAN), it also eliminated the requirement for a Task Force on Child Abuse and Neglect.

However, the existing Task Force members agreed that it was important to maintain the connections and to continue their work. The name was changed to the Federal Interagency Work Group on Child Abuse and Neglect as Task Forces have specific meanings and requirements under Federal law.

Since 1996, the Office on Child Abuse and Neglect has continued to lead and coordinate the Federal Interagency Workgroup on Child Abuse and Neglect (FEDIAWG). The FEDIAWG meets on a quarterly basis and includes representation from over 35 Federal agencies. The overall goals of the FEDIAWG are:

The following Departments and their subsequent Program Offices are members of the FEDIAWG:

For more information on the FEDIAWG and upcoming meetings, contact Lauren Fischman.

Metadata-only record linking to the original dataset. Open original dataset below.

German-English texts extracted from the website of the Federal Foreign Office Berlin. This includes 53,849 pairs that were translated between October 2013 and the beginning of November 2015 and converted into a .TMX file format.

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) actions SMART 2014/1074 and SMART 2015/1091. For further information on the project: http://lr-coordination.eu.

About this dataset

Context

The dataset tabulates the population of Federal Way by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Federal Way. The dataset can be utilized to understand the population distribution of Federal Way by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Federal Way. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Federal Way.

Key observations

Largest age group (population): Male # 30-34 years (4,175) | Female # 60-64 years (3,816). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Federal Way population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Federal Way is shown in the following column.
• Population (Female): The female population in the Federal Way is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Federal Way for each age group.

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 Way Population by Gender. You can refer the same here

The Federal Transit Administration (FTA) Regions dataset was created on October 12, 2022 from the Federal Transit Administration (FTA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Federal Transit Administration (FTA) has 10 different regions across the United States. The regions cover all 50 states, the District of Columbia, and territories. Staff within the FTA regions provide support in cities/regions with greater transit activities. All these officials develop and manage grants. FTA also overseas safety measures.

The database contains information about the following types of federal corporations: Business corporations created under the Canada Business Corporations Act (CBCA), Not-for-profit corporations created under the Canada Corporations Act, Part II (CCA II), Not-for-profit corporations created under the Canada Not-for profit Corporations Act (NFP), Cooperatives created under the Canada Cooperatives Act (COOP), Board of trades created under the Boards of Trade Act (BOTA), Other corporations regulated by Corporations Canada (e.g., special act corporation) The database does NOT include information about corporations created under financial legislation (such as financial institutions, insurance companies or loan and trust companies) or those created under provincial, territorial or other corporate legislation.