Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Northampton County, PA
Series ID MHICIUBPA42095A052NCEN
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 3:11 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 32961
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38420
1994-01-01 .
1995-01-01 42993
1996-01-01 .
1997-01-01 46300
1998-01-01 47896
1999-01-01 47448
2000-01-01 51169
2001-01-01 49922
2002-01-01 51203
2003-01-01 51854
2004-01-01 52780
2005-01-01 55197
2006-01-01 55020
2007-01-01 59825
2008-01-01 61775
2009-01-01 59687
2010-01-01 58384
2011-01-01 59978
2012-01-01 57582
2013-01-01 62340
2014-01-01 63440
2015-01-01 64526
2016-01-01 68495
2017-01-01 68213
2018-01-01 71135
2019-01-01 76775
2020-01-01 78301
2021-01-01 82457
2022-01-01 79651
2023-01-01 86886

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