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 Lower Bound of Estimate of Median Household Income for Buffalo County, NE Series ID: MHICILBNE31019A052NCEN 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 (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 23848 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28527 1994-01-01 . 1995-01-01 30427 1996-01-01 . 1997-01-01 33164 1998-01-01 34906 1999-01-01 34807 2000-01-01 35849 2001-01-01 35469 2002-01-01 35748 2003-01-01 37536 2004-01-01 38534 2005-01-01 38582 2006-01-01 38857 2007-01-01 43839 2008-01-01 43486 2009-01-01 41113 2010-01-01 41844 2011-01-01 45638 2012-01-01 49305 2013-01-01 48250 2014-01-01 47940 2015-01-01 52431 2016-01-01 52020 2017-01-01 53384 2018-01-01 53822 2019-01-01 60000 2020-01-01 61289 2021-01-01 60317 2022-01-01 60919