Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calvert County, MD
Series ID MHICILBMD24009A052NCEN
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 2:33 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 41746
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48311
1994-01-01 .
1995-01-01 52118
1996-01-01 .
1997-01-01 53758
1998-01-01 56765
1999-01-01 58313
2000-01-01 61730
2001-01-01 62265
2002-01-01 64622
2003-01-01 67069
2004-01-01 69897
2005-01-01 77762
2006-01-01 79089
2007-01-01 83314
2008-01-01 78242
2009-01-01 80157
2010-01-01 81472
2011-01-01 84037
2012-01-01 81799
2013-01-01 86752
2014-01-01 86195
2015-01-01 92225
2016-01-01 90297
2017-01-01 92239
2018-01-01 101259
2019-01-01 105832
2020-01-01 102912
2021-01-01 108785
2022-01-01 108788
2023-01-01 117533

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