Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Plymouth County, IA
Series ID MHICILBIA19149A052NCEN
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 24909
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30067
1994-01-01 .
1995-01-01 32433
1996-01-01 .
1997-01-01 36970
1998-01-01 37880
1999-01-01 39369
2000-01-01 40685
2001-01-01 40994
2002-01-01 41817
2003-01-01 42662
2004-01-01 45597
2005-01-01 44269
2006-01-01 47900
2007-01-01 48452
2008-01-01 49580
2009-01-01 54183
2010-01-01 57870
2011-01-01 51131
2012-01-01 54538
2013-01-01 53077
2014-01-01 56664
2015-01-01 57126
2016-01-01 61085
2017-01-01 60583
2018-01-01 60243
2019-01-01 64361
2020-01-01 65958
2021-01-01 69693
2022-01-01 71959

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