Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Somerset County, MD
Series ID MHICILBMD24039A052NCEN
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 1:54 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 17127
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21279
1994-01-01 .
1995-01-01 22430
1996-01-01 .
1997-01-01 23700
1998-01-01 24313
1999-01-01 26088
2000-01-01 27404
2001-01-01 26564
2002-01-01 26346
2003-01-01 27662
2004-01-01 28354
2005-01-01 29979
2006-01-01 31943
2007-01-01 32309
2008-01-01 35884
2009-01-01 32521
2010-01-01 35387
2011-01-01 32000
2012-01-01 31470
2013-01-01 32707
2014-01-01 35418
2015-01-01 35196
2016-01-01 34523
2017-01-01 36129
2018-01-01 37965
2019-01-01 35157
2020-01-01 46432
2021-01-01 42441
2022-01-01 48601

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