Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, IN
Series ID MHICILBIN18015A052NCEN
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 25246
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32041
1994-01-01 .
1995-01-01 34461
1996-01-01 .
1997-01-01 37264
1998-01-01 39279
1999-01-01 39711
2000-01-01 41402
2001-01-01 41611
2002-01-01 41587
2003-01-01 41920
2004-01-01 42432
2005-01-01 42122
2006-01-01 41522
2007-01-01 44071
2008-01-01 46523
2009-01-01 43711
2010-01-01 45505
2011-01-01 45375
2012-01-01 47279
2013-01-01 49014
2014-01-01 51758
2015-01-01 47831
2016-01-01 51048
2017-01-01 50237
2018-01-01 52306
2019-01-01 52432
2020-01-01 54376
2021-01-01 53160
2022-01-01 59031

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