Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caroline County, MD
Series ID MHICILBMD24011A052NCEN
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 22305
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27592
1994-01-01 .
1995-01-01 27794
1996-01-01 .
1997-01-01 29779
1998-01-01 31147
1999-01-01 33881
2000-01-01 35823
2001-01-01 35426
2002-01-01 35616
2003-01-01 36903
2004-01-01 38917
2005-01-01 42491
2006-01-01 42312
2007-01-01 44076
2008-01-01 51073
2009-01-01 44760
2010-01-01 52515
2011-01-01 46596
2012-01-01 46256
2013-01-01 42228
2014-01-01 46577
2015-01-01 47037
2016-01-01 46489
2017-01-01 51747
2018-01-01 51317
2019-01-01 54279
2020-01-01 53218
2021-01-01 55926
2022-01-01 59239
2023-01-01 56580

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