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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montgomery County, MD
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 1:11 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.
1989-01-01 50532
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 53447
1994-01-01 .
1995-01-01 56965
1996-01-01 .
1997-01-01 59232
1998-01-01 62809
1999-01-01 64492
2000-01-01 69999
2001-01-01 71129
2002-01-01 71362
2003-01-01 72540
2004-01-01 72894
2005-01-01 79850
2006-01-01 84683
2007-01-01 89374
2008-01-01 91866
2009-01-01 91506
2010-01-01 85849
2011-01-01 89530
2012-01-01 92140
2013-01-01 96037
2014-01-01 95056
2015-01-01 95889
2016-01-01 97939
2017-01-01 100518
2018-01-01 105247
2019-01-01 107249
2020-01-01 112580
2021-01-01 108926
2022-01-01 114669

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