Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Berks County, PA
Series ID MHICILBPA42011A052NCEN
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 28560
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33594
1994-01-01 .
1995-01-01 36491
1996-01-01 .
1997-01-01 37822
1998-01-01 38681
1999-01-01 39645
2000-01-01 41751
2001-01-01 41609
2002-01-01 41890
2003-01-01 42651
2004-01-01 43380
2005-01-01 48937
2006-01-01 48593
2007-01-01 50494
2008-01-01 52588
2009-01-01 51453
2010-01-01 50027
2011-01-01 50237
2012-01-01 50308
2013-01-01 53649
2014-01-01 54275
2015-01-01 54269
2016-01-01 56735
2017-01-01 59636
2018-01-01 60646
2019-01-01 64768
2020-01-01 67160
2021-01-01 65909
2022-01-01 69703
2023-01-01 72961

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