Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cerro Gordo County, IA
Series ID MHICIUBIA19033A052NCEN
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 27898
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31798
1994-01-01 .
1995-01-01 35651
1996-01-01 .
1997-01-01 38700
1998-01-01 39667
1999-01-01 38326
2000-01-01 40410
2001-01-01 39503
2002-01-01 39951
2003-01-01 40367
2004-01-01 42649
2005-01-01 41377
2006-01-01 43267
2007-01-01 48159
2008-01-01 48058
2009-01-01 48276
2010-01-01 47234
2011-01-01 45449
2012-01-01 46893
2013-01-01 49399
2014-01-01 53711
2015-01-01 53574
2016-01-01 56173
2017-01-01 58545
2018-01-01 55707
2019-01-01 59024
2020-01-01 63798
2021-01-01 60454
2022-01-01 69921

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