Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, IA
Series ID MHICIUBIA19027A052NCEN
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 1:53 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 27160
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32775
1994-01-01 .
1995-01-01 36263
1996-01-01 .
1997-01-01 40004
1998-01-01 40203
1999-01-01 40127
2000-01-01 42112
2001-01-01 41814
2002-01-01 42323
2003-01-01 43293
2004-01-01 46117
2005-01-01 46395
2006-01-01 48231
2007-01-01 50681
2008-01-01 52827
2009-01-01 50309
2010-01-01 53596
2011-01-01 53779
2012-01-01 54375
2013-01-01 55989
2014-01-01 57399
2015-01-01 60956
2016-01-01 61042
2017-01-01 59060
2018-01-01 66553
2019-01-01 67736
2020-01-01 66313
2021-01-01 71480
2022-01-01 80723

Subscribe to the FRED newsletter


Follow us

Back to Top