Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware County, NY
Series ID MHICILBNY36025A052NCEN
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 2:32 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 20894
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24156
1994-01-01 .
1995-01-01 24862
1996-01-01 .
1997-01-01 27262
1998-01-01 28285
1999-01-01 29494
2000-01-01 30577
2001-01-01 29981
2002-01-01 30122
2003-01-01 30813
2004-01-01 32040
2005-01-01 33711
2006-01-01 34433
2007-01-01 38464
2008-01-01 37339
2009-01-01 40398
2010-01-01 37244
2011-01-01 35755
2012-01-01 38823
2013-01-01 40552
2014-01-01 43059
2015-01-01 39473
2016-01-01 42553
2017-01-01 41623
2018-01-01 44095
2019-01-01 46551
2020-01-01 50247
2021-01-01 49551
2022-01-01 57227
2023-01-01 50968

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