NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Plymouth County, IA Series ID: MHICIUBIA19149A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 29411 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34616 1994-01-01 . 1995-01-01 38650 1996-01-01 . 1997-01-01 43231 1998-01-01 44183 1999-01-01 44964 2000-01-01 47370 2001-01-01 47118 2002-01-01 48110 2003-01-01 48498 2004-01-01 51730 2005-01-01 51639 2006-01-01 54691 2007-01-01 52049 2008-01-01 58446 2009-01-01 62698 2010-01-01 64714 2011-01-01 58963 2012-01-01 63232 2013-01-01 63149 2014-01-01 68826 2015-01-01 66732 2016-01-01 71055 2017-01-01 73529 2018-01-01 72477 2019-01-01 73969 2020-01-01 78564 2021-01-01 78311 2022-01-01 86903