Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lehigh County, PA
Series ID MHICILBPA42077A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 PM 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 29722
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33902
1994-01-01 .
1995-01-01 35981
1996-01-01 .
1997-01-01 38703
1998-01-01 39544
1999-01-01 39412
2000-01-01 41258
2001-01-01 40811
2002-01-01 41007
2003-01-01 41856
2004-01-01 43368
2005-01-01 46738
2006-01-01 46587
2007-01-01 50158
2008-01-01 51919
2009-01-01 50332
2010-01-01 49631
2011-01-01 48752
2012-01-01 51404
2013-01-01 50811
2014-01-01 56856
2015-01-01 54413
2016-01-01 58437
2017-01-01 58663
2018-01-01 59676
2019-01-01 62421
2020-01-01 62490
2021-01-01 65796
2022-01-01 69448

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