Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Montgomery County, PA
Series ID MHICIUBPA42091A052NCEN
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 1:09 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 42499
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48651
1994-01-01 .
1995-01-01 54448
1996-01-01 .
1997-01-01 58086
1998-01-01 60382
1999-01-01 63207
2000-01-01 68842
2001-01-01 68036
2002-01-01 68805
2003-01-01 69048
2004-01-01 69741
2005-01-01 69819
2006-01-01 72774
2007-01-01 75989
2008-01-01 79694
2009-01-01 76459
2010-01-01 76814
2011-01-01 77903
2012-01-01 78712
2013-01-01 79359
2014-01-01 82034
2015-01-01 85419
2016-01-01 86507
2017-01-01 89734
2018-01-01 93117
2019-01-01 94275
2020-01-01 96776
2021-01-01 105187
2022-01-01 108990

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