Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Delaware County, NY

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Delaware County, NY
Series ID MHICIUBNY36025A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:31 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 25171
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28553
1994-01-01 .
1995-01-01 31041
1996-01-01 .
1997-01-01 33445
1998-01-01 34376
1999-01-01 33572
2000-01-01 35498
2001-01-01 34392
2002-01-01 34560
2003-01-01 34980
2004-01-01 36382
2005-01-01 38450
2006-01-01 39165
2007-01-01 45260
2008-01-01 42304
2009-01-01 46282
2010-01-01 43260
2011-01-01 40661
2012-01-01 43567
2013-01-01 46208
2014-01-01 48661
2015-01-01 46341
2016-01-01 48209
2017-01-01 49147
2018-01-01 50669
2019-01-01 55525
2020-01-01 58633
2021-01-01 57219
2022-01-01 65621
2023-01-01 61358

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