|
|
|
|
Incorporated by Reference |
|||
Exhibit |
Exhibit Description |
Filed Herewith |
Form |
Period Ended |
Exhibit |
Publish Date |
|
99.01 |
Government sources |
X |
|
|
|
|
|
99.02 |
Reserved |
|
|
|
|
|
|
99.03 |
Cash and accrual bases of accounting |
X |
|
|
|
|
|
99.04 |
Government-run businesses |
X |
|
|
|
|
|
99.05 |
Composition of segment expenditures |
X |
|
|
|
|
|
99.06 |
Board of Trustees of the Federal Old-Age and Survivors Insurance and Federal Disability Insurance Trust Funds (the Trustees) projections of OASDI trust fund solvency |
X |
|
|
|
|
|
99.07 |
The Boards of Trustees of the Federal Hospital Insurance and Federal Supplementary Medical Insurance Trust Funds projections of Medicare trust funds solvency |
X |
|
|
|
|
|
99.08 |
Cohort table creation |
X |
|
|
|
|
|
99.09 |
Other similar projects |
X |
|
|
|
|
|
99.10 |
Excluded Form 10-K content |
X |
|
|
|
|
|
99.11 |
Data reliability considerations |
X |
|
|
|
|
|
99.12 |
Data comparability considerations |
X |
|
|
|
|
|
99.13 |
Modification of data |
X |
|
|
|
|
|
Endnotes
1 Much of the information in this section was derived from https://www.whitehouse.gov/about-the-white-house/state-local-government/.
2 Much of the information in this section was derived from https://www.census.gov/programs-surveys/gus/technical-documentation/methodology/population-of-interest1.html.
3 Much of the information in this section was derived from https://www.irs.gov/.
4 https://www.federalreserve.gov/aboutthefed/section7.htm
5 Individual Income Tax Provisions in the States, Informational Paper 3 by the Wisconsin Legislative Fiscal Bureau, January 2021, found at https://docs.legis.wisconsin.gov/misc/lfb/informational_papers/january_2021/0003_individual_income_tax_provisions_in_the_states_informational_paper_3.pdf
6 Government of the District of Columbia, 2019 Tax Rates and Tax Burdens in the District of Columbia: A Nationwide Comparison, https://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/2019%2051City%20Study_Final.pdf, p25
7 Budget process information in this section comes primarily from Budget Process in the States by the National Association of State Budget Officers, 2015 version, found at https://www.nasbo.org/reports-data/budget-processes-in-the-states.
8 The majority of the information in this section is derived from https://www.federalreserve.gov/aboutthefed/structure-federal-reserve-system.htm. The Federal Reserve balance sheets were sourced from https://www.federalreserve.gov/releases/z1/default.htm.
9 Most of the information in this section was derived from the Federal Home Loan Banks Combined Financial Report for the Year Ended December 31, 2020, found at http://www.fhlb-of.com/ofweb_userWeb/pageBuilder/fhlbank-financial-data-36.
10 The majority of the information in this section was derived from Fannie Mae’s 2018 Annual Report on Form 10-K, found at https://www.sec.gov/ix?doc=/Archives/edgar/data/310522/000031052219000116/fanniemae201810k.htm.
11 The majority of the information in this section was derived from Freddie Mac’s 2018 Annual Report on Form 10-K, found at https://www.sec.gov/Archives/edgar/data/1026214/000102621419000020/a20184q10k.htm.
12 The majority of the information in this section was derived from the FHFA website https://www.fhfa.gov/Conservatorship.
13 The majority of the information in this section was derived from the Farm Credit System website https://www.farmcreditnetwork.com/about/overview.
14 The majority of the information in this section was derived from Farmer Mac’s 2020 Annual Report on Form 10-K, found at https://www.sec.gov/ix?doc=/Archives/edgar/data/845877/000084587721000024/agm-20201231.htm
15 The majority of the information in this section was derived from the following Social Security Administration publications: https://www.ssa.gov/pubs/EN-05-10029.pdf, https://www.ssa.gov/pubs/EN-05-10035.pdf, https://www.ssa.gov/pubs/EN-05-10084.pdf, and https://www.ssa.gov/pubs/EN-05-10085.pdf.
16 The majority of the information in this section was derived from the Social Security Administration’s website https://www.ssa.gov/oact/progdata/taxRates.html.
17 The majority of the information in this section was derived from https://www.medicare.gov/.
18 Centers for Medicare and Medicaid Services publication 2013 Health and Health Care of the Medicare Population, found at
19 The majority of the information in this section was derived from https://www.medicaid.gov/medicaid/eligibility/index.html.
20 The majority of the information in this section was derived from https://www.fns.usda.gov/snap/eligibility.
21 The majority of the information in this section was derived from https://oui.doleta.gov/unemploy/uifactsheet.asp.
22 https://www.irs.gov/pub/irs-pdf/i940.pdf, page 5
23 The information in this paragraph was derived from the Department of Labor’s State Unemployment Insurance Trust Fund Solvency Report 2021, found at https://oui.doleta.gov/unemploy/docs/trustFundSolvReport2021.pdf.
24 The majority of the information in this section was derived from https://www.irs.gov/credits-deductions/individuals/earned-income-tax-credit.
25 The majority of this information in this section was derived from https://www.irs.gov/affordable-care-act/individuals-and-families/the-premium-tax-credit-the-basics-0.
26 The majority of the information in this section was derived from https://www.ssa.gov/ssi/text-understanding-ssi.htm.
27 The majority of the information in this section was derived from https://studentaid.ed.gov/sa/.
28 The majority of the information in this section was derived from https://www.acf.hhs.gov/ofa/programs/tanf.
29 The majority of the information in this section comes from National Governors Association, including https://www.nga.org/consulting/powers-and-authority/ and https://www.nga.org/governors/.
30 https://www.bls.gov/cps/tables.htm, table 42.
31 Information in this section was derived from https://covid.cdc.gov/covid-data-tracker/#datatracker-home.
32 Information in this section was derived from https://www.cbo.gov/publication/56334.
33 Certain of the risks outlined in these Risk Factors were derived from the Government Accountability Report to Congressional Committees, High Risk Series, Dedicated Leadership Needed to Address Limited Progress in Most High-Risk Areas, March 2021, found at https://www.gao.gov/highrisk/overview.
34 Information in this section was derived from https://www.dhs.gov/ntas/advisory/national-terrorism-advisory-system-bulletin-january-27-2021.
35 Information in this section was derived from https://www.bia.gov.
36 Information in this section was derived from https://www.acq.osd.mil/eie/Downloads/BSI/Base%20Structure%20Report%20FY18.pdf.
37 The majority of the individual and corporate income and tax data in this section was derived from the Internal Revenue Service Statistics of Income Division, found at https://www.irs.gov/uac/soi-tax-stats-statistics-of-income. See also Exhibit 99.13 for a discussion of our income and rate analysis.
38 This data was created from the Bureau of Economic Analysis (BEA)’s National Income and Product Accounts (NIPA) tables and related data for various topics. To locate this data, go to https://apps.bea.gov/iTable/index_nipa.cfm and select “Begin using the data…” to access the NIPA tables.
39 Tax Rates and Tax Burdens in the District of Columbia - A Nationwide Comparison 2018, https://cfo.dc.gov/sites/default/files/dc/sites/ocfo/publication/attachments/2018%2051City%20Study_June%202020.pdf.
40 Information obtained from https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=MGFUPUS1&f=A.
41 National Association of Insurance Commissioners, State Insurance Regulation: Key Facts and Market Trends, found at https://www.naic.org/state_report_cards/ report_card_us.pdf.
42 The Tax Burden on Tobacco, 1970 – 2019 from https://chronicdata.cdc.gov/Policy/The-Tax-Burden-on-Tobacco-1970-2019/7nwe-3aj9.
43 The source noted in endnote 39 utilizes the largest city in each state in its analysis, and the largest city in South Carolina and Tennessee changed between the periods presented, therefore these states were removed from the analysis.
44 The majority of the information in this section comes from our financial statements and footnotes. See Part II, Item 8. Financial Statements and Supplementary Data.
45 Most of the data in this section can be found, with sources noted, on our website https://usafacts.org. Data that is not yet there will be provided in the near future.
46 The annual per enrollee spending excludes disproportionate share hospital payments outlays, territorial enrollees and costs, adjustments, and administration costs, from 2018 Actuarial Report on the Financial Outlook for Medicaid found at https://www.cms.gov/files/document/2018-report.pdf.
47 Medical commodities includes prescription drugs, nonprescription over-the-counter drugs, and other medical equipment and supplies, found at https://www.bls.gov/cpi/factsheets/medical-care.htm.
48 Data is limited to billion-dollar disasters as provided by National Oceanic and Atmospheric Administration, as they account for roughly 80% of the total estimated US losses for all combined severe weather and climate events. These loss estimates reflect direct effects of weather and climate events (not including indirect effects) and constitute total estimated losses (both insured and uninsured). Because most of the data sources provide only insured losses, a “factor approach” (based on approximate average insurance participate rates) is used for conversion into the corresponding total estimated losses. For more detailed information regarding the cost estimates see https://www.ncdc.noaa.gov/monitoring-content/billions/docs/smith-and-katz-2013.pdf.
49 Foreign Aid: An Introduction to U.S. Programs and Policy, by the Congressional Research Service, April 16, 2019, found at https://fas.org/sgp/crs/row/R40213.pdf.
50 U.S. Foreign Aid to Israel, by the Congressional Research Service, August 7, 2019, found at https://fas.org/sgp/crs/mideast/RL33222.pdf.
51 Chetty, Raj, et al., Race and Economic Opportunity in the United States: An Intergenerational Perspective, working Paper (March 2018), https://opportunityinsights.org/ paper/race/.
52 The majority of the information in this section was derived from the Financial Stability Oversight Council 2018 Annual Report, found at
https://home.treasury.gov/system/files/261/FSOC2018AnnualReport.pdf.
53 Obtained from Bloomberg, accessed on March 1, 2021.
54 Treasury has not provided sufficient data to enable us to restate these figures.
55 https://www.gao.gov/highrisk/management-federal-oil-and-gas-resources
* To create federal fiscal year (October 1 to September 30) data, we used a formula of 25% of the prior calendar year figure plus 75% of the current calendar year figure. All the figures in the MD&A that were converted from calendar year to federal fiscal year in this manner are indicated by * (one asterisk).
** To create state and local fiscal year (July 1 to June 30) data, we used a formula of 50% of the prior calendar year figure plus 50% of the current calendar year figure. All the figures in the MD&A that were converted from calendar year to state and local fiscal year in this manner are indicated by ** (two asterisks).
Financial statement and related data
Our primary financial statement (and related footnote and MD&A) data came from the following sources:
See Exhibit 99.03 for information on different accounting bases.
This financial statements and related data, unless otherwise noted, are on a fiscal year basis. This means they represent:
See https://usafacts.org/usafacts-financial-analysis-methodology/ on our website for more information on the creation of our income statements. See Part II, Item 8. Financial Statements and Supplementary Data, Notes to financial statements within this report for more information on the creation of our balance sheets.
Other data
We sourced the other data in this report from the government entities listed in the tables below. Some of these data have been audited by the GAO, a state auditor’s office, or an independent public accounting firm, while some is unaudited. We relied on non-governmental data only for investment market prices and on governmental data obtained indirectly from a non-governmental source for just one data set – the economic mobility data in Part II, Item 7. Management’s Discussion and Analysis, Key metrics by segment, Blessings of Liberty, American Dream.
Forward-looking statements
This report includes limited estimates, projections, and statements relating to government plans, objectives, and expected operating results that are “forward-looking statements.” Such statements may appear throughout this report, including in the following sections: Item 1. Purpose and Function of Our Government, Item 1A. Risk Factors, Item 7. Management’s Discussion and Analysis, Item 7A. Quantitative and Qualitative Disclosures About Market Risk, and Item 15. Exhibits. These forward-looking statements generally are identified by the words “believe,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “plan,” “may,” “should,” “will,” “would,” “will be,” “will continue,” and similar expressions.
The forward-looking statements in this document have primarily been drawn from government sources. We do not attest to the accuracy of these statements and related information, nor do we undertake any obligation to update or revise publicly any forward-looking statements, whether because of new information, future events, or otherwise. We have included our own forward-looking statements in this document in the following limited cases:
Citations
For data that is contained both in this report and on our website, the respective source is generally cited only on our website and not herein again. The limited additional data that is contained only in this report and not on our website is:
It should be noted that none of our materials nor our organization are affiliated with, or endorsed by, any of our sources.
The majority of the data included in this report can be found on our website with accompanying citations. The original sources for that data as of the time of the publishing of this report are:
Agency for International Development
Consumer Financial Protection Bureau
Consumer Product Safety Commission National Electronic Injury Surveillance System
Department of Agriculture Animal and Plant Health Inspection Service Food and Nutrition Service Food Safety and Inspection Service
Department of Commerce Bureau of Economic Analysis Census Bureau United States Patent and Trademark Office
Department of Defense Defense Manpower Data Center
Department of Education National Center for Education Statistics
Department of Energy Energy Information Administration
Department of Health and Human Services Administration for Children and Families Center for Disease Control and Prevention |
Center for Medicare and Medicaid Services Food and Drug Administration
Department of Homeland Security Customs and Border Protection Federal Emergency Management Agency Transportation Security Administration
Department of Housing and Urban Development Office of Community Planning and Development Office of Fair Housing and Equal Opportunity Office of Policy Development and Research
Department of the Interior Bureau of Land Management Fish and Wildlife Service National Park Service
Department of Justice Bureau of Alcohol, Tobacco, Firearms, and Explosives Bureau of Justice Statistics Drug Enforcement Administration Federal Bureau of Investigation
Department of Labor Bureau of Labor Statistics Employee Benefits Security Administration |
Mine Safety and Health Administration Occupational Safety and Health Administration Wage and Hour Division
Department of State
Department of Transportation Bureau of Transportation Statistics Federal Highway Administration National Highway Traffic Safety Administration
Department of the Treasury Internal Revenue Service
Department of Veterans Affairs
Environmental Protection Agency Equal Employment Opportunity Commission Federal Deposit Insurance Corporation Federal Election Commission Federal Reserve and member banks Federal Trade Commission Freddie Mac Medicaid and CHIP Payment and Access Commission
National Archives and Records Administration Federal Register |
National Interagency Fire Center National Labor Relations Board National Science Foundation National Center for Science and Engineering Statistics
Nuclear Regulatory Commission Securities and Exchange Commission Small Business Administration Social Security Administration United States Congress United States Courts
White House Office of Management and Budget Office of Personnel Management
The World Bank
Additional data from: Chetty, Raj, et al. “Race and Economic Opportunity in the United States: An Intergenerational Perspective.” Working Paper (March 2018).
Stock indices from Yahoo Finance
Gold price from World Gold Council |
Certain data were sourced only for preparation of this report and have not been added to our website. These data sources, beyond those in the list of website sources above, include:
Central Intelligence Agency Congressional Budget Office Congressional Research Service The Council of State Governments
Department of Education Office of Federal Student Aid
Department of Health and Human Services Office of the Assistant Secretary for Planning and Evaluation
Department of the Interior Bureau of Indian Affairs United States Geological Survey
|
Department of Justice Office of Juvenile Justice and Delinquency Prevention
Department of Labor Employment and Training Administration
Department of the Treasury Bureau of the Fiscal Service
Department of Veterans Affairs Veteran Benefits Administration
Fannie Mae The Farm Credit Council |
Federal Home Loan Banks Federal Housing Finance Agency General Services Administration Government Accountability Office Government of the District of Columbia National Association of State Budget Officers National Conference of State Legislatures National Governors Association Oregon Department of Revenue Pension Benefit Guaranty Corporation |
United States House of Representatives United States Senate Tennessee Valley Authority USA.gov The Wisconsin Legislative Bureau
Additional data from: US credit rating – Bloomberg Stock and bond prices – Google Finance, Investing.com, Yahoo Finance |
The US Government Accountability Office provides a description of the difference between cash basis accounting and accrual basis accounting. We have reproduced it here. You can find the original text at http://www.gao.gov/assets/80/77222.pdf.
“The federal government primarily uses the cash basis of accounting for its budget, which is the federal government’s primary financial planning and control tool.” A primary exception to the general use of cash-basis accounting is the accounting for loan program costs, which are accounted for using the methodology described in “Loan program costs – reestimates” below.
“Because it is similar to keeping a checkbook, the cash basis of accounting… is perhaps the easier of the two bases of accounting to understand. The cash basis focus is on cash receipts, cash disbursements, and the difference between the two amounts. With relatively few exceptions, receipts are recorded when cash is received, and outlays are recorded when cash is disbursed. The difference between cash receipts and cash outlays at the end of the fiscal year is reported as the annual budget surplus or budget deficit.”
“Accrual accounting, also used in the private sector, is generally the basis used to prepare the Statement of Net Cost, Statement of Operations and Changes in Net Position, and the Balance Sheet [within the United States Treasury Financial Report of the United States].”
“The accrual basis of accounting recognizes revenue when it is earned and recognizes expenses in the period incurred, without regard to when cash is received or disbursed. The federal government, which receives most of its revenue from taxes, nevertheless, recognizes tax revenue when it is collected, under an accepted modified cash basis of accounting.
Expenses are recognized during the period in which they are incurred. Accrual accounting, for example, recognizes that while the employee is working, the employee earns not only a salary but also health, pension, and other benefits that will be paid in the future during the employee’s retirement. Accordingly, each year, on the basis of actuarial calculations of benefits earned, the federal government records as an expense (operating cost) an estimated amount for these earned benefits and increases the related liability – Federal Employee and Veteran Benefits Payable – for the amount owed to its employees, both civilian and military.”
“Also under accrual accounting, the federal government reports physical assets when they are acquired and records related expenses when the federal government benefits from their use or consumption or when they are sold. Physical assets consist of inventories of goods held for sale or for future consumption and long-lived or “fixed” assets such as land, buildings, and equipment. In the case of assets such as buildings and equipment, the annual cost attributed to their use is recorded as depreciation expense.”
The Federal Credit Reform Act of 1990 (FCRA) requires agencies to estimate the cost to the government of extending or guaranteeing credit. This cost, referred to as subsidy cost, equals the net present value of estimated cash flows from the government (e.g. loan disbursements and claim payments to lenders) minus estimated cash flows to the government (e.g. loan repayments, interest payments, fees, and recoveries on defaulted loans) over the life of the loan, excluding administrative costs. Discount rates that reflect the federal government’s cost of financing are used to determine the net present value of estimated cash flows. Agencies generally update, or reestimate, subsidy costs annually to reflect both actual loan performance and changes in expected loan performance.
United States Postal Service (USPS): The USPS is an independent, self-financing agency that delivers mail to some 161 million US locations and provides services through 31,330 retail outlets. With close to half a million workers, it is one of the country’s largest employers.
Tennessee Valley Authority (TVA): The Tennessee Valley Authority is the nation’s largest government-owned power utility. It sells electricity to businesses and power distributors serving 10 million customers in parts of seven Southeastern states.
The Federal Deposit Insurance Corporation (FDIC): The FDIC insures deposits of up to $250,000, supervises state-chartered banks that aren’t part of the Federal Reserve System, and acts as receiver for failed institutions.
Pension Benefit Guaranty Corporation: The PBGC insures more than 24,500 defined-benefit pension plans with over 34 million members.
Amtrak: Also known as National Railroad Passenger Corporation, Amtrak is a rail carrier that operates a 21,400-mile rail network serving 46 US states, the District of Columbia and three Canadian provinces. It carries over 32 million passengers per year.
US International Development Financial Corporation (DFC): The DFC is the US Government’s developing finance institution. The DFC partners with the private sector to finance solutions to the most critical challenges facing the developing world today. It invests in energy, healthcare, critical infrastructure, and technology and also provides financing for small businesses and women entrepreneurs in order to create jobs in emerging markets. Export-Import Bank: The bank provides services including export-credit insurance, working capital guarantees and loan guarantees to US exporters. It also offers trade finance to foreign buyers of US products.
St. Lawrence Seaway Development Corporation: The corporation, created in 1954, operates and maintains the portion of the St. Lawrence Seaway that runs through US territory between the Port of Montreal and Lake Erie.
Valles Caldera Trust: The trust operated the 89,000-acre Valles Caldera National Preserve in New Mexico’s Jimenez Mountains until 2015, when the wilderness was handed over to the National Park Service.
Commodity Credit Corporation: The CCC was created in 1933, during the Great Depression, to support farm income and prices. Its operations include providing loans to farmers, as well as export credits, disaster insurance and conservation programs. It also authorizes the sale of agricultural commodities to other government agencies and foreign governments and donations of food to relief agencies.
Presidio Trust of San Francisco: In partnership with the National Park Service and the Golden Gate National Parks Conservancy, the Presidio Trust operates the Presidio, a 1,491-acre national park that encompasses a former US Army post, museums and archeological sites.
Federal Crop Insurance: The Federal Crop Insurance Corporation, through its Risk Management Agency, reinsures crop-insurance policies purchased by farmers from private firms and also provides subsidies for premiums.
Federal Financing Bank: The FFB was created in 1973 to centralize and reduce the cost of borrowing by federal government agencies. The bank borrows from the Treasury and lends to agencies and agency-guaranteed borrowers.
Ginnie Mae: Also known as the Government National Mortgage Association, Ginnie Mae provides financing to the housing market by guaranteeing payment of interest and principal on mortgage-backed securities insured by federal agencies, including the Federal Housing Administration.
Federal Prison Industries (UNICOR): The corporation provides vocational training to federal prisoners and uses their labor to produce goods and services that are sold to federal agencies.
Air Transportation: Federal aid for construction, operation, and support of public airports; and other distributions from the Federal Airport and Airway Trust Fund.
Toll Highways: Fees from turnpikes, toll roads, bridges, ferries, and tunnels; rents and other revenue from concessions (service stations, restaurants, etc.); and other charges for use of toll facilities.
Parking Facilities: Provision, construction, maintenance, and operation of public parking facilities operated on a commercial basis.
Sea and Inland Port Facilities: Canal tolls, rents from leases, concession rents, and other charges for use of commercial or industrial water transport and port terminal facilities and related services.
Mass Transit: Operation, maintenance, and construction of public mass transit systems, including subways, surface rails, and buses.
Water Utilities: Revenue from operations of public water supply systems, such as sale of water to residential, industrial, and commercial customers (including bulk water for resale by other private or public water utilities); connection and “tap” fees; sprinkler fees; meter inspection fees; late payment penalties; and other operations revenues.
Gas and Electric Utilities: Revenue from operations of public electric power-supply systems, such as sale of electricity to residential, commercial, and industrial customers (including electricity for resale by other private or public electric utilities); and other operations revenues. Revenue from operations of public gas supply systems, such as sale of natural gas to residential, commercial, and industrial customers (including natural gas for resale by other private or public gas supply utilities); connection fees; and other operations revenues.
Sewerage and Waste Management: Charges for sewage collection and disposal, including sewer connection fees. Fees for garbage collection and disposal; operation of landfills; sale of recyclable materials; cleanup of hazardous wastes; and sale of electricity, gas, steam, or other by-products of waste resource recovery or cogeneration facilities.
Liquor Stores: Operation and maintenance of government operated retail or wholesale liquor monopolies.
Lotteries: Proceeds from the operation of government-sponsored lotteries after deducting the cost of prizes.
Justice and Domestic Tranquility
Crime and disaster expenditures include expenditures for:
Child safety and miscellaneous social services expenditures include expenditures for:
Safeguarding consumers and employees expenditures include expenditures for:
Common Defense
National defense and support for veterans expenditures include expenditures for:
Immigration and border security expenditures include expenditures for immigration, visa, and citizenship services; customs; and border protection.
Foreign affairs and foreign aid expenditures include expenditures for:
General Welfare
Economy and infrastructure expenditures include expenditures for:
Standard of living and aid to the disadvantaged expenditures include expenditures for:
Health (excluding Medicaid and Medicare) expenditures include expenditures for:
Blessings of Liberty
Education expenditures include expenditures for elementary, secondary, and higher education inside the classroom and education outside the classroom, such as museums and libraries, offset in part by fees paid by students and visitors.
Wealth and savings expenditures include expenditures for:
Sustainability and self-sufficiency expenditures include expenditures for:
General government support and other
General government support and other expenditures include expenditures for central staff services, financial administration, the Internal Revenue Service, and general public buildings.
The following projections and accompanying text are excerpts from the 2020 Annual Report of the Board of Trustees of the Federal Old-Age and Survivors Insurance and Federal Disability Insurance Trust Funds (the Trustees’ Report). You can find the Trustees’ Report at https://www.ssa.gov/OACT/TR/2020/tr2020.pdf.
Background
The Trustees have traditionally shown estimates using the low-cost and high-cost sets of specified assumptions to illustrate the potential implications of uncertainty. These low-cost and high-cost estimates provide a range of possible outcomes for the projections. However, they do not provide an indication of the probability that actual future experience will be inside or outside this range. [Appendix E of the Trustees’ Report] presents the results of a stochastic model that estimates a probability distribution of future outcomes of the financial status of the combined OASI and DI Trust Funds. This model, which was first incorporated in the 2003 report, is in the process of further development.
Stochastic methodology
Other sections of [the Trustees’ Report] provide estimates of the financial status of the combined OASI and DI Trust Funds using a scenario-based model. For the scenario-based model, the Trustees use three alternative scenarios (low-cost, intermediate, and high-cost) that use specific assumptions about levels of fertility, rates of change in mortality, lawful permanent resident (LPR) and other-than-LPR immigration levels, legal and other-than-LPR emigration levels, changes in the Consumer Price Index, changes in average real wages, unemployment rates, trust fund real yield rates, and disability incidence and recovery rates. In general, the Trustees assume that each of these variables will reach an ultimate value at a specific point during the long-range period, and will maintain that value throughout the remainder of the period. The three alternative scenarios assume separate, specified values for each of these variables. Chapter V [of the Trustees’ Report] contains more details about each of these assumptions.
[Appendix E of the Trustees’ Report] presents estimates of the probability that key measures of OASDI solvency will fall in certain ranges, based on 5,000 independent stochastic simulations. Each simulation allows the above variables to vary throughout the long-range period. The fluctuation of each variable over time is simulated using historical data and standard time-series techniques. Generally, each variable is modeled using an equation that: (1) captures a relationship between current and prior years’ values of the variable, and (2) introduces year-by-year random variation based on variation observed in the historical period. For some variables, the equations also reflect relationships with other variables. The equations contain parameters that are estimated using historical data for periods from 13 years to over 110 years, depending on the nature and quality of the available data. Each time-series equation is designed so that, in the absence of random variation over time, the value of the variable for each year equals its value under the intermediate assumptions. More detail on this model, and stochastic modeling in general, is available at https://www.ssa.gov/OACT/stochastic /index.html.
For each simulation, the stochastic model develops year-by-year random variation for each variable using Monte Carlo techniques. Each simulation produces an estimate of the financial status of the combined OASI and DI Trust Funds. [Appendix E of the Trustees’ Report] shows the distribution of results from 5,000 simulations of the model.
Readers should interpret the results from this model with caution and with an understanding of the model’s limitations. Results are sensitive to equation specifications, degrees of interdependence among variables, and the historical periods used for estimating model coefficients. For some variables, recent historical variation may not provide a realistic representation of the potential variation for the future. Also, results would differ if additional variables (such as labor force participation rates, retirement rates, marriage rates, and divorce rates) were also allowed to vary randomly. Furthermore, more variability would result if statistical approaches were used to model uncertainty in the central tendencies of the variables. Time-series modeling reflects only what occurred in the historical period. Future uncertainty exists not only for the underlying central tendency but also for the frequency and size of occasional longer-term shifts in the central tendency. Many experts predict, and history suggests, that the future will likely bring substantial shifts that are not fully reflected in the historical period used for the current model. As a result, readers should understand that the true range of uncertainty is larger than indicated in [Appendix E of the Trustees’ Report].
Table VI.E1
Table VI.E1 displays long-range actuarial estimates for the combined OASDI program using the two methods of illustrating uncertainty: alternative scenarios and stochastic simulations. The table shows scenario-based estimates for the intermediate, low-cost, and high-cost assumptions. It also shows stochastic estimates for the median (50th percentile) and for the 80% and 95% confidence intervals. Each individual stochastic estimate in the table is the level at that percentile from the distribution of the 5,000 simulations. For each given percentile, the values in the table for each long-range actuarial measure are generally from different stochastic simulations.
The median stochastic estimates displayed in table VI.E1 are similar to the intermediate scenario-based estimates. The median estimate of the long-range actuarial balance is -3.27% of taxable payroll, about 0.05 percentage point lower (more negative) than projected under the intermediate assumptions. The median estimate for the open-group unfunded obligation is $17.0 trillion, about $0.2 trillion larger than the $16.8 trillion estimate under the intermediate assumptions. The median first projected year for which cost exceeds non-interest income (as it did in 2010 through 2019), and remains in excess of non-interest income throughout the remainder of the long-range period, is 2020. This is the same year as projected under the intermediate assumptions. The median projected year in which trust fund reserves first become depleted is 2035, also the same as projected under the intermediate assumptions. The median estimates of the annual cost rate for the 75th year of the projection period are 18.39% of taxable payroll and 6.00% of gross domestic product (GDP). The comparable estimates under the intermediate assumptions are 17.94% of payroll and 5.85% of GDP.
For three measures in table VI.E1 (the actuarial balance, the first projected year cost exceeds non-interest income and remains in excess through 2094, and the first year trust fund reserves become depleted), the 95% stochastic confidence interval falls within the range defined by the low-cost and high-cost alternatives. For the remaining three measures (the open-group unfunded obligation, the annual cost in the 75th year as a percent of taxable payroll, and the annual cost in the 75th year as a percent of GDP), one or both of the bounds of the 95% stochastic confidence interval fall outside the range defined by the low-cost and high-cost alternatives.
Table VI.E1. – Long-Range Estimates Relating to the Actuarial Status of the Combined OASDI Program [Comparison of scenario-based and stochastic results] |
|||||||||||||||||||||||
|
Traditional scenario-based model |
|
Stochastic model |
||||||||||||||||||||
|
|
|
|
|
|
|
|
|
80-percent confidence interval |
|
95-percent confidence interval |
||||||||||||
|
Intermediate |
|
Low- cost |
|
High- cost |
|
Median 50th percentile |
|
10th percentile |
|
90th percentile |
|
2.5th percentile |
|
97.5th percentile |
||||||||
Actuarial balance |
|
(3.21) |
|
|
(0.13) |
|
|
(7.10) |
|
|
(3.27) |
|
|
(4.74) |
|
|
(2.01) |
|
|
(5.59) |
|
|
(1.37) |
Open group unfunded obligation (in trillions) |
$ |
16.8 |
|
$ |
(.1) |
|
$ |
30.9 |
|
$ |
17.0 |
|
$ |
9.3 |
|
$ |
28.7 |
|
$ |
6.3 |
|
$ |
37.2 |
First projected year cost exceeds non-interest income and remains in excess through 2094 |
|
2020 |
|
|
1 |
|
|
2020 |
|
|
2020 |
|
|
2020 |
|
|
2020 |
|
|
2020 |
|
|
2092 |
First year trust fund reserves become depleted 2 |
|
2035 |
|
|
2079 |
|
|
2031 |
|
|
2035 |
|
|
2032 |
|
|
2039 |
|
|
2031 |
|
|
2042 |
Annual cost in 75th year (percent of taxable payroll) |
|
17.94 |
|
|
12.93 |
|
|
25.48 |
|
|
18.39 |
|
|
14.99 |
|
|
23.07 |
|
|
13.40 |
|
|
26.23 |
Annual cost in 75th year (percent of GDP) |
|
5.85 |
|
|
4.60 |
|
|
7.64 |
|
|
6.00 |
|
|
4.92 |
|
|
7.46 |
|
|
4.41 |
|
|
8.41 |
1 The annual balance is projected to be negative for a temporary period, returning to positive levels before the end of the projection period.
2 For some stochastic simulations, the first year in which trust fund reserves become depleted does not indicate a permanent depletion of reserves.
The following projections and accompanying text are excerpts from the 2020 Annual Report of the Boards of Trustees of the Federal Hospital Insurance and Federal Supplementary Medical Insurance Trust Funds. You can find this report at https://www.cms.gov/files/document/2020-medicare-trustees-report.pdf.
HI trust fund
Under the intermediate assumptions, the assets of the HI trust fund would steadily decrease as a percentage of annual expenditures throughout the short-range projection period, as illustrated in figure II.E1. The ratio declines until the fund is depleted in 2026, the same date as projected last year. If assets were depleted, Medicare could pay health plans and providers of Part A services only to the extent allowed by ongoing tax revenues – and these revenues would be inadequate to fully cover costs. Beneficiary access to health care services could rapidly be curtailed. To date, Congress has never allowed the HI trust fund to become depleted.
There is substantial uncertainty in the economic, demographic, and health care projection factors for HI trust fund expenditures and revenues. Accordingly, the date of HI trust fund depletion could differ substantially in either direction from the 2026 intermediate estimate. As shown in greater detail in section III.B, trust fund assets would increase throughout the entire projection period under the low-cost assumptions. Under the high-cost assumptions, however, asset depletion would occur in 2023.
SMI trust fund
SMI differs fundamentally from HI in regard to the nature of its financing and the method by which its financial status is evaluated. SMI comprises two parts, Part B and Part D, each with its own separate account within the SMI trust fund. The Trustees must determine the financial status of the SMI trust fund by evaluating the financial status of each account separately, since there is no provision in the law for transferring assets or income between the Part B and Part D accounts. The nature of the financing for both parts of SMI is similar in that the law establishes a mechanism by which income from the Part B premium and the Part D premium, and the corresponding general revenue transfers for each part, are sufficient to cover the following year’s estimated expenditures. Accordingly, each account within SMI is automatically in financial balance under current law. This result contrasts with OASDI and HI, for which financing established many years earlier may prove significantly higher or lower than subsequent actual costs. Moreover, Part B and Part D are voluntary (whereas OASDI and HI are generally compulsory), and payroll taxes are not the source of income for these programs. The financial assessment described in this section differs in important ways from that for OASDI or HI.
Financing for the SMI trust fund is adequate because beneficiary premiums and general revenue contributions, for both Part B and Part D, are established annually to cover the expected costs for the upcoming year. Should actual costs exceed those anticipated when the financing is determined, future financing rates can include adjustments to recover the shortfall. Likewise, should actual costs be less than those anticipated, the savings would result in lower future financing rates. As long as the future financing rates continue to cover the following year’s estimated costs, both parts of the SMI trust fund will remain financially solvent.
The families and individuals tables presented by USAFacts show how key economic and demographic statistics vary according to three key variables: market income, family type, and elderly/non-elderly status. These groupings are not available consistently, and therefore we produced estimates using only government data.
The numbers in the families and individuals tables are estimates based on data collected from a variety of government sources, the two most important being microdata from the Current Population Survey (March Supplement) issued by the Census Bureau of the Public Use File issued by the Internal Revenue Service’s Statistics of Income Division (IRS-SOI). The CPS is a sample of households representing the US civilian noninstitutionalized population. It contains information on topics such as housing, health insurance, labor status, family arrangement, etc. Unfortunately, the CPS does not contain everything we want, so we supplement that file with data from elsewhere via statistical processes. In the case of income data, we statistically match the IRS Public Use File with the CPS. The IRS data is superior to the CPS income data. In other cases, we impute variables in the CPS from other sources such as the American Community Survey using regression techniques for variables that are common to both files.
There are two types of economic units: families and individuals. We use the Census Bureau’s definition for each. If there are two or more related individuals living together, they are a family economic unit. If a person is living alone or in a household with no other related persons, that person is considered an individual economic unit. Therefore, some economic units have only one person, while other economic units have multiple persons.
We rank these economic units, which we call FIUs (family and individual units) by market income to place each in a percentile that shows the unit relative to other units in the population. (There are approximately 150 million family and individual units). After determining each unit’s market income percentile relative to all other units, we then place each unit into one of five categories:
It should be the noted that although we divide the families based on presence of children under 18, if a person is aged 18+ and still living in the family with relatives, she would NOT be her own economic unit unless she had her own subfamily.
See this page https://usafacts.org/usafacts-financial-analysis-methodology/ on our website for additional information on how we created our cohort tables.
Financial Report of the United States Government and similar state government reports
The US Department of the Treasury (the Treasury) publishes timely (the current version at the time of this report is as of September 30, 2020) an annual Financial Report of the United States Government (the Financial Report), which can be found at https://www.fiscal.treasury.gov/fsreports/rpt/finrep/fr/fr_index.htm. Following are key differences between that report and this one:
States also produce reports like the Financial Report. For example, this one from Colorado https://drive.google.com/file/d/1cHfbVNbDm7TMiF9bN6UEY677dANu8BOl/view. We have not drawn data directly from these state reports in the production of this document.
There also exist other privately produced financial reports for our Government, including two that are similar in concept to this one but differ in important ways. We discuss these two immediately below.
USA 10-K
In 2012, a group of individuals published an article through The Wharton School of the University of Pennsylvania arguing “why America needs an annual report.” The article argued for a report that was similar in structure to this one. The authors said:
“America’s 10-K should borrow liberally from the template of reports issued by public companies large and small. It should include a letter to voters followed by the information that is essential to the country’s stakeholders – such as relevant history, recent performance and prospects, a summary of financial condition, management discussion and analysis, future objectives, anticipated risks, related party-transactions, internal controls (including weaknesses and deficiencies), pension and off-balance-sheet liabilities, litigation exposures, and the compensation, benefits and insider purchases and sales of senior officials. It should describe the ability to make accurate forecasts and projections, contain an auditor’s report and all necessary qualifications, and conclude with certifications as to accuracy by the top officials.”
The article provided a link to a seven-page sample 10-K summary, which you can find at https://d1c25a6gwz7q5e.cloudfront.net/papers/download/07032012_US10-K-sample.pdf. You can find the introductory article at https://knowledge.wharton.upenn.edu/article/usa-10-k-why-america-needs-an-annual-report/.
USA Inc.
USA Inc. is a concept reflected in a report created and compiled by Mary Meeker. Per the foreword of the report:
“This report looks at the federal government as if it were a business, with the goal of informing the debate about our nation’s financial situation and outlook. In it, we examine USA Inc.’s income statement and balance sheet. We aim to interpret the underlying data and facts and illustrate patterns and trends in easy-to-understand ways. We analyze the drivers of federal revenue and the history of expense growth, and we examine basic scenarios for how America might move toward positive cash flow.”
The objective of the USA Inc. report is like ours in that we seek to inform debate about our nation’s financial situation and outlook. However, our approaches differ in the following important ways:
The latest USA Inc. report of which we are aware was for 2011. It appears to no longer be publicly available.
Excluded sections
In applying the concepts of the Form 10-K to a government environment, we have excluded certain sections of the form that are not obviously applicable to our Government. The sections we excluded are:
Excluded financial statements
Within a public company’s Form 10-K, you would find the following financial statements and notes thereto:
We have diverged a bit in this report from these traditional financial statements. Foremost, we have provided two income statements – functional income statements organized by type of revenue and expenditure and segment income statements organized by reporting segment, both on a hybrid basis of accounting. We have used data with a hybrid basis of accounting primarily because of a lack of accessible, aggregated, detailed state and local data created on a consistent accounting basis, and we have favored cash basis federal data because of our desire to focus the financial portion of our document on a concept central to government analysis and debate – “the deficit.” By “the deficit,” we mean the excess of combined US government (federal, state, and local) annual cash outflows over annual cash inflows.
We have also:
Please see Part I, About This Report, Structure and content, Sources of data, Financial statement and related data within this annual report for more information on the content and preparation of the income statements and balance sheets included in this report.
Some of the data we have sourced may not be reliable for a number of reasons, including disclaimed audit opinions, restatements of data, and issues specific to Census data.
Audits
Certain departments of the federal government have received disclaimed audit opinions on their audit reports, meaning the auditors were not able to obtain sufficient appropriate audit evidence to provide a basis for an audit opinion on the financial statements. Each year, the Government Accountability Office (GAO) report within the Financial Report of the United States Government, lists the federal government departments that have received disclaimed audit opinions for that year. The Department of Defense has received a disclaimed audit opinion every year since the federal government began preparing the federal government’s consolidated financial statements. In addition, the GAO report notes that the federal government has material weaknesses resulting in ineffective internal controls over financial reporting for each of the fiscal years included in our financial statements. We are not able to correct for these issues in this report and therefore are not able to provide assurance on the completeness and accuracy of the information.
The Department of Defense Office of Inspector General (DoD OIG) conducted and oversaw the first full audit of the DoD’s financial statements in 2018. On November 15, 2018, the DoD OIG issued a disclaimer of opinion on the financial statements. The audit identified 20 overall material weaknesses and more than 2,400 notices of findings and recommendations, including weak information technology controls, insufficient controls to ensure the accuracy and completeness of property, and incomplete universes of financial transactions. For more information on this audit and its findings see Understanding the Results of the Audit of the DoD FY 2018 Financial Statements.
The financial data we use for our state and local government reporting within this report is generally not audited.
Restatements
In addition to being qualified by disclaimed audit opinions, the data in government reports is often restated, particularly the two most recent years and often the Census data, which is subject to sampling and data collection error. See more about the Census process at https://www.census.gov/programs-surveys/state/about.html and under Census data below.
When a company discovers that it needs to restate material information in its annual report, it is required to issue a statement of non-reliance telling the public to not rely on the information until it is restated. Government entities that do not file with the Securities and Exchange Commission do not do that, and we will not do that for this report. Rather, we will update this report annually, and we will restate information contained herein that our Government has updated in the interim in our next annual report. We may update certain data used in this report on our website as it becomes available, sometimes more frequently than annually (see Part I, Item 1. Purpose and Function of Our Government, Available information).
Conflicting data
Our Government often releases conflicting numbers for the same data point. This occurs within and across government entities. In these cases, we select the measure to present after considering the breadth and depth of the data available at each source and sometimes, after consultation with subject matter experts. Rarely, we present each of the conflicting figures in this report or on our website.
Census data
The Census warns us not to use their data in the way that we are using it. However, there is no alternative source of aggregated state and local government income statement data, and it was not reasonable for us to create this data set in this phase of our project. Here is the warning from the Census:
“Although the original sources for finance statistics are accounting records of governments, the data derived from them are purely statistical in nature. Consequently, the Census Bureau statistics on government finance cannot be used as financial statements, or to measure a government’s fiscal condition. For instance, the difference between a government’s total revenue and total expenditure cannot be construed to be a ‘surplus’ or ‘deficit.’”
The Census tells us there are several reasons why these survey data are not suitable for measuring the financial condition of a government, any of its sectors, or any of its dependent agencies:
Unlike information about a corporation, the data for our Government come from numerous and varied sources. Each of these sources may prepare the data on different accounting bases (e.g. cash vs. accrual) and for different time periods (e.g. a point in time vs. a full year, calendar year vs. fiscal year). This lack of comparability of data makes analysis of our Government challenging. We have highlighted key data challenges and our solutions in this exhibit and Exhibit 99.13. We acknowledge our solutions are not perfect and seek to continually refine our approach as we release future reports. However, we do not anticipate true solutions to these challenges other than government-wide data availability and comparability initiatives.
Financial statement data
Reporting periods
The financial statement and related data in this report, unless otherwise noted, is on a fiscal year basis. This means it represents, for:
When we combined federal and state and local data, we added the figures together, without adjusting for differences in fiscal years. This is consistent with what a corporation may do for subsidiaries that it consolidates, which have different fiscal year ends than each other or the parent company. This is allowed by accounting rules when the fiscal periods of the entities being combined end within 90 days of each other, as they do for the US federal and state and local governments in nearly every case.
New York is the only exception, as its fiscal year end is March 31, which is not within 90 days of the latest fiscal year end within the combined group (September 30); New York’s fiscal year end is off by an additional 90 days. This is only a potential concern for our income statements, as we used New York’s (and all other states’) June 30 information for our balance sheets. New York’s revenue represents approximately 5% of our Government’s revenue, and a reasonable approximation of 90 days of its average revenue is roughly $60-70 billion. In combining the income statements, we include 12 months of data for each entity, but we include different 12-month periods depending on the respective entity’s fiscal year (i.e. October 1 to September 30 for the federal government and April 1 to March 31 for New York). Therefore, incomparability that could arise from using data from different fiscal year periods would not be due to missing data but rather seasonality of the data. A reasonable estimate of the seasonality variability of 90 days of New York’s revenue or expenses is immaterial. As: the Census has already aggregated the state and local government data; modifying that data to extract, recalculate, and reintroduce adjusted New York data introduces complexity and risk; and the estimated impact of not modifying is not material to our Government’s overall financial statements, we have not made any modifications for New York and have simply added the aggregated state and local data to the federal data to form the combined group.
Intergovernmental transfers
In combining the federal and state and local data, we eliminated known intergovernmental transfers, in the same way that a company eliminates intercompany transfers among subsidiaries and the parent company. For example, the federal government reports grants to states as expenditures, and the states in turn also report the subsequent uses of those funds as expenditures. To eliminate double counting, we count the expenditure (or revenue) only once, in either the federal or state or local government, whichever is the ultimate spender (in the case of expenditures) or recipient (in the case of revenues) of the funds. Similarly, we eliminate intergovernmental assets and liabilities. For example, state and local governments own Treasury securities, and the federal government has a corresponding liability for the securities. We eliminated these intergovernmental assets and liabilities in creating our combined financial statements. For more information on transfers eliminated, see Part II, Item 8. Financial Statements and Supplementary Data, Notes to financial statements, Note 23 – Intergovernmental transfers within this annual report.
Management’s discussion and analysis (MD&A) data
An MD&A is intended to provide the reader with an analysis of the financial statements for the periods presented, essentially a “drill down” from the financial statements, including an analysis of the changes in the income statements from period to period. Our income statements are presented on a fiscal year basis, as discussed above. On the other hand, a large portion of the detailed government financial information and related figures (e.g. numbers of people) is available only on a calendar year basis. This makes analyzing the income statement data difficult, as it is not possible to “drill down” to lower levels of detail from the fiscal year data. Therefore, to prepare the MD&A within this report, we were required to convert much of our source data from calendar year to fiscal year.
In cases where monthly or quarterly data was available, we created fiscal year data by reassembling data from these more detailed periods. Where only annual calendar year data was available, we used one simple formula to create federal fiscal year data – 25% of the prior calendar year figure plus 75% of the current calendar year figure, as well as one other simple formula to create state and local fiscal year data – 50% of the prior calendar year figure plus 50% of the current calendar year figure. Of course, these two formulas do not produce the true fiscal year figures. However, no alternative method of calculation would be accurate, and the method we have chosen, when consistently applied, forms a reasonable basis for our analysis. All the figures (in the MD&A and elsewhere in this report) that were converted from calendar year to fiscal year in this manner are indicated by * (one asterisk) for federal and ** (two asterisks) for state and local.
Certain tax and other law changes go into effect during the fiscal year, so only part of the fiscal year reflects the changes. Furthermore, the tax filing season (and therefore cash receipt and the recording of revenue by our Government) for any tax year is in the following fiscal year, therefore, tax law changes within a particular tax year have a disproportionate influence on revenue for the following fiscal year. As income tax revenue is collected via withholding and estimated tax payments throughout the year, this impact is somewhat tempered for this revenue source.
Other data
Other data within this report comes from many sources and may have similar challenges to those discussed above.
We have sourced the data included in this report directly from the sources listed in Exhibit 99.01 and where possible, have not revised it. In certain cases, where necessary to make the data comparable or comprehensible, we have modified the data. Specifically, we modified the following data:
Hold year 1 average tax rate constant and assume it also applies to year 2. That is, multiply the year 1 rate by the year 2 base. Then compare this figure to the actual revenue in year 1. The difference is how much was attributable to the base change. The residual is the amount of revenue change that is attributable to the rate change.
For example, assume the rate in 2013 is 20%. Assume the base in 2013 is $1,000. This implies revenue of $200. Now suppose the base in 2014 is $1,200 and the revenue is $300. The amount attributable to the base increase would be calculated by assuming the 20% rate applied to the new base of $1,200. This would imply a revenue of $240 if the rate was held constant. Therefore, $40 of the revenue increase is attributable to the base increase. The remainder ($60 = $300 – $240) is attributable to the rate change.
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