Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, MD
Series ID MHICILBMD24013A052NCEN
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.
DATE VALUE
1989-01-01 37213
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44546
1994-01-01 .
1995-01-01 49096
1996-01-01 .
1997-01-01 52757
1998-01-01 55063
1999-01-01 54619
2000-01-01 57329
2001-01-01 57518
2002-01-01 60170
2003-01-01 62560
2004-01-01 64618
2005-01-01 70740
2006-01-01 71095
2007-01-01 75263
2008-01-01 75409
2009-01-01 74951
2010-01-01 76588
2011-01-01 78844
2012-01-01 75651
2013-01-01 78793
2014-01-01 81375
2015-01-01 80896
2016-01-01 85412
2017-01-01 88487
2018-01-01 90944
2019-01-01 97252
2020-01-01 99363
2021-01-01 96347
2022-01-01 99264

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