Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Howard County, MD
Series ID MHICILBMD24027A052NCEN
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 3:13 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 51919
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 58167
1994-01-01 .
1995-01-01 61928
1996-01-01 .
1997-01-01 64794
1998-01-01 68910
1999-01-01 67948
2000-01-01 72077
2001-01-01 73099
2002-01-01 74469
2003-01-01 74793
2004-01-01 76050
2005-01-01 87196
2006-01-01 89814
2007-01-01 97371
2008-01-01 98861
2009-01-01 98491
2010-01-01 97513
2011-01-01 94888
2012-01-01 105585
2013-01-01 104422
2014-01-01 101405
2015-01-01 106491
2016-01-01 115071
2017-01-01 108905
2018-01-01 111825
2019-01-01 116776
2020-01-01 117351
2021-01-01 125254
2022-01-01 127078
2023-01-01 134135

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