Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for York County, PA
Series ID MHICILBPA42133A052NCEN
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 3:13 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 30154
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35757
1994-01-01 .
1995-01-01 37876
1996-01-01 .
1997-01-01 40714
1998-01-01 42909
1999-01-01 42699
2000-01-01 44733
2001-01-01 44191
2002-01-01 44493
2003-01-01 45293
2004-01-01 46470
2005-01-01 47594
2006-01-01 50877
2007-01-01 53296
2008-01-01 55125
2009-01-01 55270
2010-01-01 53659
2011-01-01 54133
2012-01-01 54194
2013-01-01 55076
2014-01-01 56478
2015-01-01 56282
2016-01-01 59835
2017-01-01 61485
2018-01-01 62645
2019-01-01 66711
2020-01-01 69023
2021-01-01 70419
2022-01-01 77425
2023-01-01 78729

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