Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cameron County, PA
Series ID MHICILBPA42023A052NCEN
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 1:53 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 21677
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23356
1994-01-01 .
1995-01-01 24824
1996-01-01 .
1997-01-01 27958
1998-01-01 30421
1999-01-01 30913
2000-01-01 31587
2001-01-01 30289
2002-01-01 30396
2003-01-01 31664
2004-01-01 32577
2005-01-01 30607
2006-01-01 34127
2007-01-01 34152
2008-01-01 34015
2009-01-01 32921
2010-01-01 32940
2011-01-01 34703
2012-01-01 36116
2013-01-01 34364
2014-01-01 36456
2015-01-01 38402
2016-01-01 35251
2017-01-01 36785
2018-01-01 39776
2019-01-01 38662
2020-01-01 39445
2021-01-01 42016
2022-01-01 44149

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