Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Northampton County, PA
Series ID MHICILBPA42095A052NCEN
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 28803
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34225
1994-01-01 .
1995-01-01 37512
1996-01-01 .
1997-01-01 40558
1998-01-01 42198
1999-01-01 41917
2000-01-01 44487
2001-01-01 43807
2002-01-01 44878
2003-01-01 45941
2004-01-01 46738
2005-01-01 51097
2006-01-01 51596
2007-01-01 56124
2008-01-01 57767
2009-01-01 56311
2010-01-01 54354
2011-01-01 54590
2012-01-01 53384
2013-01-01 56870
2014-01-01 59580
2015-01-01 59732
2016-01-01 62965
2017-01-01 63531
2018-01-01 65299
2019-01-01 70785
2020-01-01 69505
2021-01-01 75079
2022-01-01 71285

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