Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lancaster County, PA
Series ID MHICILBPA42071A052NCEN
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 30180
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35983
1994-01-01 .
1995-01-01 38839
1996-01-01 .
1997-01-01 40378
1998-01-01 42068
1999-01-01 42023
2000-01-01 44394
2001-01-01 43845
2002-01-01 44160
2003-01-01 44789
2004-01-01 46135
2005-01-01 47653
2006-01-01 50967
2007-01-01 51271
2008-01-01 54400
2009-01-01 54003
2010-01-01 50438
2011-01-01 51574
2012-01-01 52842
2013-01-01 55078
2014-01-01 55545
2015-01-01 57166
2016-01-01 59920
2017-01-01 61623
2018-01-01 64942
2019-01-01 65204
2020-01-01 70000
2021-01-01 73448
2022-01-01 79545
2023-01-01 77168

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